Psychometric properties of the Spanish version of the Chalder Fatigue Scale in clinical and general populations / Propiedades psicométricas de la versión española de la Escala de Fatiga de Chalder en población clínica y general

Objetivo: La Escala de Fatiga de Chalder (CFS) es una escala breve para evaluar fatiga que se utiliza en España, pero que no ha sido validada en su población. El objetivo del estudio fue adaptar y evaluar las propiedades psicométricas de la versión española de la CFS (Sp-CFS). Método: La muestra la conformaron 3,671 participantes (3.190 de la población general y 481 pacientes), con edades entre 18 y 86 años (M = 28.43; DT = 12.71), siendo el 67.6% mujeres. Las propiedades psicométricas de la escala se probaron en un diseño transversal utilizando validación cruzada (análisis factorial exploratorio y confirmatorio) y estimación de la invarianza (sexo y condición clínica). Resultados: Un modelo de cuatro factores (baja energía, problemas de sueño, problemas de concentración y disfunción cognitiva subjetiva) en lugar de un modelo original de dos factores (fatiga física y mental) proporcionó mejores índices de bondad de ajuste a los datos. La consistencia interna y la estabilidad de la escala fueron excelentes. Su validez convergente se apoyó en su asociación significativa con la ansiedad, la depresión, el estrés y los síntomas positivos y negativos del espectro de la psicosis. El instrumento no mostró diferencias significativas entre sexos ni condiciones clínicas, y discriminó entre la población general y los pacientes, obteniendo estos últimos puntajes significativamente mayores. Conclusiones: Sp-CFS es una escala fiable y válida para medir la fatiga en población general y clínica española.(AU)

Objective:The Chalder Fatigue Scale (CFS) is a brief self-report screening scale for fatigue that is used in Spain but has not been validated for the Spanish population. The aim of this study was to adapt and evalu-ate the psychometric properties of the Spanish version of the CFS (Sp-CFS). Method:The sample consisted of 3,671 participants (3,190 from the general population and 481 patients), aged 18 to 86 years (M=28.43; DT=12.71), 67.6% of whom were women. Psychometric properties of the scale were tested in a cross-sectional design using cross-validation (explora-tory and confirmatory factor analysis) and estimation of invariance (sex and clinical condition). Results:A four-factor model (low energy, sleep problems, concentration problems and subjective cognitive dysfunction) rather than an original two-factor model (physical and mental fatigue) pro-vided better indices of goodness of fit to the data. The internal consistencyand stability of the scale were excellent. Its convergent validity was sup-ported by its significant association with anxiety, depression, stress, and the positive and negative symptoms of the psychosis spectrum. The instru-ment did not show significant differences between sexes or clinical condi-tions, and it discriminated between the general population and the patients, with the latter obtaining significantly greater scores. Conclusions: Sp-CFS is a reliable and valid scale for measuring a transdiagnostic construct such as fatigue in Spanish general and clinical populations.(AU)

Is it really over when it is over? physical, mental and emotional health status of long-term breast cancer survivors compared to healthy matched controls.

PURPOSE: This study aimed to assess pain, fitness condition, physical activity (PA) level, comorbidities, cancer-related fatigue (CRF), mood state and health-related quality of life (HRQoL) in long-term breast cancer survivors (LTBCS) compared to women without cancer history, matched by age, weight, height, and educational level. METHODS: A cross-sectional study conducted in Granada between April 2018 and July 2023 involved 80 LTBCS and 80 matched controls. Pain, fitness condition, PA level, comorbidities, CRF, mood state, and HRQoL were evaluated ≥ 5 years post-diagnosis using validated instruments. RESULTS: LTBCS, compared to the controls, reported significantly higher levels of "pain intensity and interference", CRF (in all domains and > 40% exhibited moderate-to-severe fatigue levels), "sadness-depression", "anxiety", "anger/hostility", and "symptom scales" (All: P = .000 to .027). Moreover, 66.25% of LTBCS not only did not reach recommended PA levels (P = .035), but also presented significantly lower levels of "general physical fitness", "muscular strength", "happiness", "functioning scales" (except "emotional functioning"), and "global health status" (All: P = .000 to .048). CONCLUSION: LTBCS still suffer from physical (pain, fitness condition, and CRF), both mental and emotional (sadness-depression, anxiety and anger/hostility) long-term side effects as well as multiple HRQoL issues (including lower levels of physical functioning and higher levels of symptoms). These findings highlight the chronic nature of this disease and the importance of continuing long- term follow-up care for survivors many years after the diagnosis of breast cancer.

The relation between FT3 and long-term fatigue in patients with COVID-19.

Background: Under the current pandemic of Corona Virus Disease 2019 (COVID-19), The relationship between fatigue and COVID-19 has been found. Infection with COVID-19 is associated with fatigue long after the acute phase of COVID-19. Understanding the association of thyroid hormones levels with post-COVID condition, such as fatigue, is necessary to improve quality of life. Methods: This population-based cohort study was conducted in Dalian, China, from December 2022, to March 2023, using a Yidu Core platform in the First Affiliated Hospital of Dalian Medical University, that integrates medical records, laboratory tests, and all diagnosis and treatment information based on patients in hospital. Eligible individuals were 40 patients with COVID-19, Divided them into fatigue group and non-fatigue group following up by telephone using the FS-14 scale after 6 months. The primary outcomes were the diagnoses of fatigue. The association between thyroid hormones levels and post-COVID condition, such as fatigue, was assessed using logistic regression analysis. Results: Compared with the non-fatigue group, the FT3 level in fatigue group was lower (p<0.05). FT3 was negatively correlated with fatigue after 6 months (OR 0.257, p<0.05). After adjusting for confounding factors such as age and gender, low FT3 was a risk factor for fatigue in patients with COVID-19, (OR 0.225, p<0.05). And the FT3 is less than 2.47 mol/L, it is the best critical value for predicting long-term fatigue, with a sensitivity of 92.3% and a specificity of 48.1%. Conclusions: Most people still have fatigue 6 months after COVID-19 infection. FT3 serves as the important index to predict fatigue in patients with COVID-19. it should be closely monitored during infection.

Sleep, Sleep Apnea, and Fatigue in People Living With HIV.

BACKGROUND: People living with HIV (PLWH) often report fatigue even when viral load is suppressed. Obstructive sleep apnea (OSA), which is often associated with fatigue, is common in PLWH, but whether OSA explains fatigue in this population is unknown. SETTING: Academic university-affiliated HIV and Sleep Medicine Clinics. METHODS: PLWH, aged 18-65 years, with a body mass index of 20-35 kg/m2 and viral suppression (RNA <200 copies per mL), were recruited to undergo daytime questionnaires, including the Functional Assessment of Chronic Illness Therapy Fatigue Scale and Epworth Sleepiness Scale, 7 days of actigraphy (to determine daily sleep duration and activity amplitude and rhythms), and an in-laboratory polysomnography to assess for the presence and severity of OSA. RESULTS: Of 120 subjects with evaluable data, 90 (75%) had OSA using the American Academy of Sleep Medicine 3% desaturation or arousal criteria, with an apnea-hypopnea index >5/h. There was no difference in Functional Assessment of Chronic Illness Therapy scores between those with and without OSA, although those with OSA did report more daytime sleepiness as measured using the Epworth Sleepiness Scale. In a multivariable model, predictors of fatigue included more variable daily sleep durations and decreased mean activity counts. Sleepiness was predicted by the presence of OSA. CONCLUSION: OSA was very common in our cohort of PLWH, with those with OSA reporting more sleepiness but not more fatigue. Variability in sleep duration was associated with increased fatigue. Further study is needed to determine if treatment of OSA, or an emphasis on sleep consistency and timing, improves symptoms of fatigue in PLWH.

Designing a practical fatigue detection system: A review on recent developments and challenges.

INTRODUCTION: Fatigue is considered to have a life-threatening effect on human health and it has been an active field of research in different sectors. Deploying wearable physiological sensors helps to detect the level of fatigue objectively without any concern of bias in subjective assessment and interfering with work. METHODS: This paper provides an in-depth review of fatigue detection approaches using physiological signals to pinpoint their main achievements, identify research gaps, and recommend avenues for future research. The review results are presented under three headings, including: signal modality, experimental environments, and fatigue detection models. Fatigue detection studies are first divided based on signal modality into uni-modal and multi-modal approaches. Then, the experimental environments utilized for fatigue data collection are critically analyzed. At the end, the machine learning models used for the classification of fatigue state are reviewed. PRACTICAL APPLICATIONS: The directions for future research are provided based on critical analysis of past studies. Finally, the challenges of objective fatigue detection in the real-world scenario are discussed.

Effect of fatigue on quality of life in patients with rheumatoid arthritis: the chain mediating role of resilience and self-efficacy.

OBJECTIVES: Exploring the effect of resilience and self-efficacy in mediating the chain between fatigue and quality of life(QOL) in patients with rheumatoid arthritis (RA). METHODS: From June 2022 to November 2022, 423 RA patients were chosen by a convenience sample method from two tertiary care facilities in Chengdu, Sichuan Province. General Information Questionnaire, Bristol Multidimensional Scale of Fatigue in Patients with Rheumatoid Arthritis, SF-12 Health Survey Short Form, Chinese version of the ten-item psychological Resilience Scale, and Chinese-language Arthritis Self-Efficacy Scale, an 8-element version, were among the questionnaires used. RESULTS: In the physical component summary( PCS), self-efficacy, psychological resilience, and self-efficacy were all significantly mediated by fatigue (total effect mediated 8.88%). In the mental component summary (MCS), fatigue (total effect mediated 10.79%), self-efficacy (total effect mediated 8.99%), psychological resilience, and self-efficacy (total effect mediated 2.01%) were all significantly mediated by fatigue. CONCLUSION: Fatigue in RA patients can affect the quality of life both directly and indirectly through the mediating effects of psychological resilience, self-efficacy, and the chain mediating effect of psychological resilience-self-efficacy.

Mirror movements in multiple sclerosis -a clinical, electrophysiological, and imaging study.

BACKGROUND: Mirror movements (MM) are commonly caused by a defect of interhemispheric pathways also affected in multiple sclerosis (MS), particularly the corpus callosum. We investigated the prevalence of MM in MS in relation to functional and morphological callosal fiber integrity by transcranial magnetic stimulation (TMS), magnetic resonance imaging (MRI), as well as fatigue. METHODS: In 21 patients with relapsing-remitting MS and 19 healthy controls, MM were assessed and graded (Woods and Teuber scale: MM 1-4) using a bedside test. Fatigue was evaluated using the Fatigue Scale for Motor and Cognitive Functions (FSMC) questionnaire. TMS measured ipsilateral silent period latency and duration. MRI assessed callosal atrophy by measuring the normalized corpus callosum area (nCCA), corpus callosum index (CCI), and lesion volume. RESULTS: MS patients had significantly more often and pronounced MM compared to healthy controls (p = 0.0002) and nCCA was significantly lower (p = 0.045) in MRI studies. Patients with higher MM scores (MM > 1 vs. MM 0/1) showed significantly more fatigue (higher FSMC sum score, p = 0.04, motor score, p = 0.01). In TMS and MRI studies, no significant differences were found between patients with MM 0/1 and those with MM > 1 (ipsilateral silent period measurements, CCA, CCI and lesion volume). CONCLUSIONS: MM are common in MS and can easily be detected through bedside testing. As MM are associated with fatigue, they might indicate fatigue in MS. It is possible that other cerebral structures, in addition to the corpus callosum, may contribute to the origin of MM in MS.

Urdu translation and cross-cultural validation of neurological fatigue index on post stroke.

BACKGROUND: The Neurological Fatigue Index (NFI) is the instrument used to evaluate stroke patients' fatigue. There was no Urdu version of NFI available officially. OBJECTIVE: This study aimed to translate the Neurological Fatigue Index into Urdu and to determine the validity and reliability of Urdu NFI among stroke patients. METHODOLOGY: It is a cross-cultural validation study. According to international guidelines in phase I, a process of translation was carried out. In phase II, using the sample of 120 participants, validity and reliability of the Urdu version of the Neurological Fatigue Index scale was conducted. The Urdu version's content validity, convergent/concurrent validity, test-retest reliability, and internal consistency were determined. The latest version of SPSS was used for the data analysis. RESULTS: The Urdu version of NFI was drafted after the expert's review. The content validity index was used to analyze the content validity. The reliability and validity of the Urdu version NFI were evaluated by calculating Cronbach's alpha (α = 0.86), and intra-class correlation coefficient (ICC = 0.823). Correlations with other scales were the fatigue Severity Scale (FSS) (r = 0.76), Mental Fatigue Scale (MFS) (r = 0.68), Beck Depression Inventory (BDI) (r = 0.53) and Epworth Sleepiness Scale (ESS) (r = 0.47). CONCLUSION: The Urdu Version was linguistically acceptable for the fatigue assessment in post-stroke patients. It showed good content validity, convergent/concurrent validity, internal consistency, and test-retest reliability.

[Fatigue feature extraction and classification algorithm of forehead single-channel electroencephalography signals].

Aiming at the problem that the feature extraction ability of forehead single-channel electroencephalography (EEG) signals is insufficient, which leads to decreased fatigue detection accuracy, a fatigue feature extraction and classification algorithm based on supervised contrastive learning is proposed. Firstly, the raw signals are filtered by empirical modal decomposition to improve the signal-to-noise ratio. Secondly, considering the limitation of the one-dimensional signal in information expression, overlapping sampling is used to transform the signal into a two-dimensional structure, and simultaneously express the short-term and long-term changes of the signal. The feature extraction network is constructed by depthwise separable convolution to accelerate model operation. Finally, the model is globally optimized by combining the supervised contrastive loss and the mean square error loss. Experiments show that the average accuracy of the algorithm for classifying three fatigue states can reach 75.80%, which is greatly improved compared with other advanced algorithms, and the accuracy and feasibility of fatigue detection by single-channel EEG signals are significantly improved. The results provide strong support for the application of single-channel EEG signals, and also provide a new idea for fatigue detection research.

Zoom fatigue related to online learning among medical students in Thailand: Prevalence, predictors, and association with depression.

Background: Amidst the COVID-19 pandemic, the learning pattern of medical students shifted from onsite to online. This transition may contribute to what has been called "Zoom fatigue." This study aimed to evaluate the prevalence of Zoom fatigue related to online learning, identify associated factors of Zoom fatigue, and explore its correlation with depression among medical students during the COVID-19 pandemic. Methods: This cross-sectional study was conducted among 1st to 6th-year Thai medical students. The online survey was administered using a demographic and health behavior questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the Thai version of the Zoom Exhaustion & Fatigue Scale (ZEF-T). Results: Among the 386 participating students, 221 (57%) were female, with a mean age of 20.6 years. The prevalence of high Zoom fatigue was 9.6%. In the multivariable regression analysis, a lower academic year and a higher number of online learning sessions were significant predictors of Zoom fatigue (p < 0.001), while regular exercise emerged as a protective factor (p = 0.009). The prevalence of depressive disorder was 61.9%, and a significant correlation was found between having a depressive disorder and experiencing Zoom fatigue (p = 0.004). Conclusion: Zoom fatigue among medical students was correlated with depression. Consequently, medical students experiencing Zoom fatigue should undergo further assessment for depression. It is crucial to closely monitor medical students in lower academic years with a high number of online sessions for signs of Zoom fatigue. Additionally, implementing strategies, such as reducing the frequency of online sessions and promoting regular exercise, may help alleviate the symptoms.

[Neurological long-term consequences of COVID-19]. / Neurologische Langzeitfolgen von COVID-19.

The COVID-19 pandemic faced the public health sector with unprecedented challenges. While the immediate impact on society seems to diminish, reports of long-term health consequences persist. Among the most frequently reported symptoms are neurological complaints such as persistent fatigue and cognitive impairments. Scientific understanding is evolving rapidly, and first therapeutic approaches are emerging. However, many questions still remain unanswered.

The impact of hedonic social media use during microbreaks on employee resources recovery.

This study investigates the impact of social media-related microbreaks on the resource recovery of employees. Specifically, we examined whether or not the brief, hedonic use of social media through algorithmic videos could fully replenish resources, such as vigor and fatigue, that are depleted after performing clerical tasks. We also compared this form of recovery to other established microbreak activities. We used a pre-registered, mixed-method experimental design to collect data from 308 employees. A series of mixed-method ANOVA tests complemented by quadratic linear contrast terms and post-hoc analyses were performed to test hypotheses and address research questions. The findings indicate that although social media microbreaks offer a certain degree of resource replenishment, they do not provide full recovery, particularly regarding fatigue. Social media facilitate a reasonable psychological detachment but fall short in other recovery experiences. Notably, exposure to nature yielded more beneficial results. The study contributes novel insights to a field primarily focused on the negative impacts of excessive social media use and suggests that rational and brief usage can be advantageous for employee well-being.

Mental Health Consequences of the COVID-19 Outbreak Among Emergency Department Healthcare Workers.

Study Objective: The present study is aimed at providing an assessment of the changes in burnout, job strain, isostrain, sleepiness, and fatigue levels over time and identifying factors associated with these symptoms among healthcare workers in French emergency departments (EDs). Method: We conducted a prospective, multicenter study in four EDs and an emergency medical service. Participants completed questionnaires at inclusion and at 90 days to assess burnout, job strain, isostrain, sleepiness, and fatigue. Results: A total of 211 respondents (43.5%) completed the questionnaires at inclusion. At the beginning of the study, 84 (40.8%) participants presented symptoms of burnout, 86 (43.2%) had symptoms of job strain, and 58 (29.4%) of isostrain. Forty-two (20.1%) healthcare workers presented symptoms of sleepiness, and 8 (3.8%) had symptoms of fatigue. We found that symptoms of burnout were more frequent for healthcare workers with a previous psychiatric history (55.3% vs. 39.1%, p = 0.02) and were lower among participants who had at least one dependent child (33.1% vs. 48.3%, p = 0.013). Symptoms of job strain were higher among administrative staff compared to physicians (55.6% vs. 28.7%, p = 0.01) and among healthcare workers with managerial responsibilities compared to those without (45.6% vs. 28.8%, p = 0.015). Symptoms of isostrain were higher among administrative staff (42.3%) compared to paramedics (34.1%) and physicians (19.8%, p = 0.026). Conclusion: We identified that potential factors associated with the emergence of symptoms of burnout and job strain are suggested, underlining several areas of improvement for the prevention against mental health disorders in the specific population of ED healthcare workers. Trial Registration: ClinicalTrials.gov identifier: NCT04383886.

Experiences Using Nonpharmacological Interventions for Chronic Fatigue: A Focus Group Study of Long-Term Survivors of Young Adult Cancers With Fatigue.

BACKGROUND: Cancer-related fatigue is a common and distressing late effect of cancer that can persist for decades after treatment completion. Although negatively affecting survivors' quality of life, few, if any, efficacious interventions for persistent, or chronic, fatigue exist. AIMS: To inform future interventions, we explored how long-term, young adult cancer survivors (YACSs) with chronic fatigue live with, and manage their fatigue over time, including their experiences with nonpharmacological interventions (NPIs) for chronic fatigue. METHODS AND RESULTS: We conducted a qualitative focus group study with 15 YACSs (13 women) with chronic fatigue, on average 7.3 years post-diagnosis. The YACS were identified and recruited through a nationwide health survey of cancer survivors (the NOR-CAYACS study). Systematic content analysis was used to identify recurrent themes. Analysis revealed five themes: (1) manifestation of fatigue, detailing chronic fatigue experiences; (2) impact on daily life, highlighting the necessity to balance rest and activity, affecting relationships; (3) NPIs, where walks in nature were notably beneficial; (4) barriers to fatigue management, including energy deficits, treatment-related bodily changes, and self-care prioritization challenges; (5) facilitators to fatigue management, emphasizing the need for regular breaks, self-care practices, and the importance of fatigue management education. CONCLUSION: This study offers novel insights into the lived experiences of YACSs with chronic fatigue, a subject scarcely examined in prior research. Our findings highlight the significant impact of chronic fatigue and the individualized strategies YACSs use to cope. The research emphasizes the need for personalized interventions to support chronic fatigue management, marking a critical step forward in addressing this often-overlooked issue in survivorship care. Future research should focus on tailored approaches to improve YACSs' quality of life.

Impact research of pain nursing combined with hospice care on quality of life for patients with advanced lung cancer.

This study aims to evaluate the impact of integrating pain nursing with hospice care on the quality of life among patients with advanced lung cancer. This study involving 60 advanced lung cancer patients admitted from January 2022 to January 2023. Participants were randomly assigned to 2 groups: the observation group received a combination of pain nursing and hospice care, while the control group received standard nursing care. The study assessed changes in the numeric rating scale for pain, self-rating anxiety scale (SAS), self-rating depression scale (SDS), cancer fatigue scale (CFS), death attitude, and various quality of life dimensions as measured by the Quality of Life Questionnaire-Core 30. Post-intervention, both groups exhibited reductions in numeric rating scale, SAS, SDS, and CFS scores compared to baseline, with more significant improvements observed in the observation group (P < .05). Additionally, post-intervention scores for death attitude and Quality of Life Questionnaire-Core 30 domains (physical, cognitive, social, role, and emotional functioning, as well as overall health) increased in both groups, with the observation group showing greater improvements than the control group (P < .05). The combination of pain nursing and hospice care significantly reduces pain, anxiety, and depression, decreases cancer-related fatigue, and improves the quality of life and death attitudes in patients with advanced lung cancer, highlighting the benefits of this integrative approach in palliative care settings.

Cardiovascular training versus resistance training for fatigue in people with cancer.

BACKGROUND: With prevalence estimates between 50% and 90% of people with cancer, cancer-related fatigue is one of the most common morbidities related to cancer and its treatment. Exercise is beneficial for the treatment of cancer-related fatigue. However, the efficacy of different types of exercise (i.e. cardiovascular training and resistance training) have not yet been investigated systematically and compared directly in a meta-analysis. OBJECTIVES: To compare the benefits and harms of cardiovascular training versus resistance training for treatment or prevention of cancer-related fatigue in people with cancer. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, and five other databases in January 2023. We searched ClinicalTrials.gov and the International Clinical Trials Registry Platform for ongoing trials. We integrated results from update searches of previously published Cochrane reviews. In total, our searches included trials from inception to October 2023. SELECTION CRITERIA: We included randomised controlled trials investigating cardiovascular training compared with resistance training, with exercise as the main component. We included studies on adults with cancer (aged 18 years and older), with or without a diagnosis of cancer-related fatigue, for any type of cancer and any type of cancer treatment, with the intervention starting before, during, or after treatment. We included trials evaluating at least one of our primary outcomes (cancer-related fatigue or quality of life). We excluded combined cardiovascular and resistance interventions, yoga, and mindfulness-based interventions. Our primary outcomes were cancer-related fatigue and quality of life. Our secondary outcomes were adverse events, anxiety, and depression. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methodology. For analyses, we pooled results within the same period of outcome assessment (i.e. short term (up to and including 12 weeks' follow-up), medium term (more than 12 weeks' to less than six months' follow-up), and long term (six months' follow-up or longer)). We assessed risk of bias using the Cochrane RoB 1 tool, and certainty of the evidence using GRADE. MAIN RESULTS: We included six studies with 447 participants with prostate, breast, or lung cancer who received radiotherapy or chemotherapy, had surgery, or a combination of these. All studies had a high risk of bias due to lack of blinding. Three studies had an additional high risk of bias domain; one study for attrition bias, and two studies for selection bias. Interventions in the cardiovascular training groups included training on a cycle ergometer, treadmill, an elliptical trainer, or indoor bike. Interventions in the resistance training group included a varying number of exercises using bodyweight, weights, or resistance bands. Interventions varied in frequency, intensity, and duration. None of the included studies reported including participants with a confirmed cancer-related fatigue diagnosis. The interventions in four studies started during cancer treatment and in two studies after cancer treatment. Before treatment No studies reported interventions starting before cancer treatment. During treatment The evidence was very uncertain about the effect of cardiovascular training compared with resistance training for short-term cancer-related fatigue (mean difference (MD) -0.29, 95% confidence interval (CI) -2.52 to 1.84; 4 studies, 311 participants; Functional Assessment of Chronic Illness Therapy - Fatigue (FACIT-Fatigue) scale where higher values indicate better outcome; very low-certainty evidence) and long-term cancer-related fatigue (MD 1.30, 95% CI -2.17 to 4.77; 1 study, 141 participants; FACIT-Fatigue scale; very low-certainty evidence). The evidence was very uncertain about the effect of cardiovascular training compared with resistance training for short-term quality of life (MD 1.47, 95% CI -1.47 to 4.42; 4 studies, 319 participants; Functional Assessment of Cancer Therapy - General scale where higher values indicate better outcome; very low-certainty evidence) and for long-term quality of life (MD 3.40, 95% CI -4.85 to 11.65; 1 study, 141 participants; Functional Assessment of Cancer Therapy - Anemia scale where higher values indicate better outcome; very low-certainty evidence). The evidence is very uncertain about the effect of cardiovascular training compared with resistance training on the occurrence of adverse events at any follow-up (risk ratio (RR) 2.00, 95% CI 0.19 to 21.18; 2 studies, 128 participants; very low-certainty evidence). No studies reported medium-term cancer-related fatigue or quality of life. After treatment The evidence was very uncertain about the effect of cardiovascular training compared with resistance training for short-term cancer-related fatigue (MD 1.47, 95% CI -0.09 to 3.03; 1 study, 95 participants; Multidimensional Fatigue Inventory-20 General Fatigue subscale where higher values indicate worse outcome; very low-certainty evidence). Resistance training may improve short-term quality of life compared to cardiovascular training, but the evidence is very uncertain (MD -10.96, 95% CI -17.77 to -4.15; 1 study, 95 participants; European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-C30 Global Health subscale where higher values indicate better outcome; very low-certainty evidence). No studies reported outcomes at medium-term or long-term follow-up. AUTHORS' CONCLUSIONS: The evidence is very uncertain about the effects of cardiovascular training compared with resistance training on treatment of cancer-related fatigue in people with cancer. Larger, well-conducted studies including people with different cancer types receiving different treatments are needed to increase the certainty in the evidence and to better understand who may benefit most from cardiovascular or resistance training. Moreover, studies comparing the effects of cardiovascular and resistance training initiated before as well as after cancer treatment are needed to understand the prophylactic and rehabilitative effects of these exercise types on cancer-related fatigue.

The Cumulative Impacts of Fatigue during Overload Training Can Be Tracked Using Field-Based Monitoring of Running Stride Interval Correlations.

Integrating running gait coordination assessment into athlete monitoring systems could provide unique insight into training tolerance and fatigue-related gait alterations. This study investigated the impact of an overload training intervention and recovery on running gait coordination assessed by field-based self-testing. Fifteen trained distance runners were recruited to perform 1-week of light training (baseline), 2 weeks of heavy training (high intensity, duration, and frequency) designed to overload participants, and a 10-day light taper to allow recovery and adaptation. Field-based running assessments using ankle accelerometry and online short recovery and stress scale (SRSS) surveys were completed daily. Running performance was assessed after each training phase using a maximal effort multi-stage running test-to-exhaustion (RTE). Gait coordination was assessed using detrended fluctuation analysis (DFA) of a stride interval time series. Two participants withdrew during baseline training due to changed personal circumstances. Four participants withdrew during heavy training due to injury. The remaining nine participants completed heavy training and were included in the final analysis. Heavy training reduced DFA values (standardised mean difference (SMD) = -1.44 ± 0.90; p = 0.004), recovery (SMD = -1.83 ± 0.82; p less than 0.001), performance (SMD = -0.36 ± 0.32; p = 0.03), and increased stress (SMD = 1.78 ± 0.94; p = 0.001) compared to baseline. DFA values (p = 0.73), recovery (p = 0.77), and stress (p = 0.73) returned to baseline levels after tapering while performance trended towards improvement from baseline (SMD = 0.28 ± 0.37; p = 0.13). Reduced DFA values were associated with reduced performance (r2 = 0.55) and recovery (r2 = 0.55) and increased stress (r2 = 0.62). Field-based testing of running gait coordination is a promising method of monitoring training tolerance in running athletes during overload training.

Increased risk of depression and associated symptoms in poststroke aphasia.

Poststroke aphasia hinders patients' emotional processing and social adaptation. This study estimated the risks of depression and related symptoms in patients developing or not developing aphasia after various types of stroke. Using data from the US Collaborative Network within the TriNetX Diamond Network, we conducted a retrospective cohort study of adults experiencing their first stroke between 2013 and 2022. Diagnoses were confirmed using corresponding International Classification of Diseases, Tenth Revision, Clinical Modification codes. Patients were stratified by poststroke aphasia status and stroke type, with propensity score matching performed to control for confounders. The primary outcome was depression within one year post-stroke; secondary outcomes included anxiety, fatigue, agitation, emotional impact, and insomnia. Each matched group comprised 12,333 patients. The risk of depression was significantly higher in patients with poststroke aphasia (hazard ratio: 1.728; 95% CI 1.464-2.038; p < 0.001), especially those with post-hemorrhagic-stroke aphasia (hazard ratio: 2.321; 95% CI 1.814-2.970; p < 0.001). Patients with poststroke aphasia also had higher risks of fatigue, agitation, and emotional impact. Anxiety and insomnia risks were higher in those with post-hemorrhagic-stroke aphasia. Poststroke aphasia, particularly post-hemorrhagic-stroke aphasia, may increase the risks of depression and associated symptoms, indicating the need for comprehensive psychiatric assessments.

Incidence, symptom clusters and determinants of post-acute COVID symptoms: a population-based surveillance in community-dwelling users of the COVID RADAR app.

OBJECTIVES: This study aims to describe the incidence, symptom clusters and determinants of post-acute COVID symptoms using data from the COVID RADAR app in the Netherlands. DESIGN: Prospective cohort. SETTING: General population in the Netherlands from April 2020 to February 2022. PARTICIPANTS: A total of 1478 COVID RADAR app users, with data spanning 40 days before to 100 days after positive SARS-CoV-2 test. OUTCOME MEASURES: Incidence and duration of 10 new symptoms that developed during acute infection, defined as 10 days prior and 10 days after positive test. Clustering of these post-acute COVID symptoms and associations between factors known in the acute phase and 100-day symptom persistence. RESULTS: The most frequent post-acute symptoms were cough, loss of smell or taste and fatigue. At 100 days postinfection, 86 (8%) participants still experienced symptoms. Three post-acute COVID symptom clusters were identified: non-respiratory (headache and fatigue; 49% of participants with post-acute COVID symptoms); olfactory (15%) and respiratory (8%). Vaccination was associated with a lower risk of post-acute COVID symptoms 100 days after infection, although CIs were wide (OR: 0.5; 95% CI: 0.2 to 1.5), but not with non-respiratory symptoms (OR: 1.0; 95% CI: 0.3 to 4.4). Severe acute disease increased the risk of post-acute COVID symptoms (OR: 1.4; 95% CI: 1.2 to 1.5; per additional acute symptom). CONCLUSIONS: In this cohort of infected community-dwelling app users, 5%-10% experienced post-acute COVID symptoms. The symptoms cluster in several distinct entities, which differ in incidence, patient characteristics and vaccination effects. This suggests multiple mechanisms underlying the development of post-acute COVID symptoms.

Feeling tired versus feeling relaxed: Two faces of low physiological arousal.

Human well-being and functioning depend on two fundamental mental states: Relaxation and sleepiness. Relaxation and sleepiness are both assumed to be states of low physiological arousal and negatively correlated. However, it is still unclear how consistent this negative relationship is across different settings and whether it changes before and after an intervention. Here we investigated this intricate relationship between subjective momentary sleepiness and relaxation states by meta-analytically analyzing several data sets from studies using the Relaxation State Questionnaire. We discovered that subjective sleepiness and relaxation were in fact anti-correlated pre-intervention. This anti-correlation provides a quantitative dissociation between sleepiness and relaxation. Thus, even though sleepiness and relaxation both implicate a low arousal level, the two mental states are subjectively experienced in a qualitatively different fashion, and thus reflect distinct underlying constructs. For the post-intervention relationship, this negative correlation could not be consistently found. This indicates that there are aspects of the experimental setting or intervention that introduce changes in the dynamics of the relationship of the two constructs.