Neural effect of physical fatigue on mental fatigue: a magnetoencephalography study

Abstract Background Fatigue is a common symptom in patients with brain tumors, but comprehensive studies on fatigue in patients with meningioma specifically are lacking. This study examined the prevalence and correlates of fatigue in meningioma patients. Methods Patients with grade I meningioma completed the Multidimensional Fatigue Inventory (MFI-20) before and 1 year after neurosurgery. The MFI consists of 5 subscales: General Fatigue, Physical Fatigue, Mental Fatigue, Reduced Motivation, and Reduced Activity. Patients’ scores were compared with normative data. Preoperative fatigue was compared with postoperative fatigue. Correlations with sex, age, education, tumor hemisphere, preoperative tumor volume, antiepileptic drugs (AEDs), symptoms of anxiety/depression, and self-reported cognitive complaints were explored. Results Questionnaires were completed by 65 patients preoperatively, and 53 patients postoperatively. Of 34 patients, data from both time points were available. Patients had significantly higher fatigue levels on all subscales compared to normative values at both time points. Mean scores on General Fatigue, Physical Fatigue, and Mental Fatigue remained stable over time and improvements were observed on Reduced Motivation and Reduced Activity. Preoperatively, the prevalence of high fatigue (Z-score ≥ 1.3) varied between 34% for Reduced Motivation and 43% for General Fatigue/Mental Fatigue. The postoperative prevalence ranged from 19% for Reduced Activity to 49% on Mental Fatigue. Fatigue was associated with cognitive complaints, anxiety and depression, but not with education, tumor lateralization, tumor volume, or AEDs. Conclusion Fatigue is a common and persistent symptom in patients with meningioma undergoing neurosurgery. Findings emphasize the need for more research and appropriate care targeting fatigue for meningioma patients.

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Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach

Automation in Construction ◽

10.1016/j.autcon.2020.103381 ◽

2020 ◽

Vol 120 ◽

pp. 103381

Author(s):

Xuejiao Xing ◽

Botao Zhong ◽

Hanbin Luo ◽

Timothy Rose ◽

Jue Li ◽

...

Keyword(s):

Pilot Study ◽

Mental Fatigue ◽

Construction Workers ◽

Physical Fatigue

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Lower Fatigue in Fit and Positive Women with Fibromyalgia: The al-Ándalus Project

Pain Medicine ◽

10.1093/pm/pny304 ◽

2019 ◽

Vol 20 (12) ◽

pp. 2506-2515 ◽

Cited By ~ 3

Author(s):

Fernando Estévez-López ◽

María Rodriguez-Ayllon ◽

Alberto Soriano-Maldonado ◽

Pedro Acosta-Manzano ◽

Víctor Segura-Jiménez ◽

...

Keyword(s):

Negative Affect ◽

Physical Fitness ◽

Positive Affect ◽

Mental Fatigue ◽

Physical Fatigue ◽

Cross Sectional ◽

General Fatigue ◽

Different Dimensions ◽

Independent Association ◽

Reduced Activity

Abstract Objective To analyze 1) the independent association of physical fitness, positive affect, and negative affect with the different dimensions of fatigue (general fatigue, physical fatigue, reduced activity, reduced motivation, and mental fatigue) and 2) whether the interactions of physical fitness, positive affect, and negative affect were associated with fatigue over and above the independent association. Design Cross-sectional study in 420 women with fibromyalgia. Setting Fibromyalgia associations from southern Spain. Methods Physical fitness was measured by performance-based tests, and questionnaires were used to measure positive affect, negative affect, and different dimensions of fatigue (general fatigue, physical fatigue, reduced activity, reduced motivation, and mental fatigue). Age, body mass index, and current pain level were included as potential confounders in all analyses. Results Physical fitness was independently associated with general fatigue, physical fatigue, and reduced activity (all P ≤ 0.02). Positive affect was independently associated with all fatigue dimensions (all P < 0.001). Negative affect was independently associated with general fatigue, physical fatigue, reduced motivation, and mental fatigue (all P ≤ 0.04). The interaction of overall physical fitness and positive affect was related to general fatigue and physical fatigue (all P ≤ 0.02). Women with fibromyalgia with higher levels of overall physical fitness and positive affect showed the lowest general fatigue and physical fatigue. Conclusions In women with fibromyalgia, positive affect was independently and consistently associated with all dimensions of fatigue. The combination of higher levels of overall physical fitness and positive affect might serve as a buffer against general and physical fatigue in women with fibromyalgia.

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Elucidating the behavior of physical fatigue and mental fatigue in cancer patients: a review of the literature

Psycho-Oncology ◽

10.1002/pon.3225 ◽

2012 ◽

Vol 22 (9) ◽

pp. 1919-1929 ◽

Cited By ~ 30

Author(s):

P. J. de Raaf ◽

C. de Klerk ◽

C. C. D. van der Rijt

Keyword(s):

Cancer Patients ◽

Mental Fatigue ◽

Review Of The Literature ◽

Physical Fatigue

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Fatigue in multiple sclerosis: association with disease-related, behavioural and psychosocial factors

Multiple Sclerosis Journal ◽

10.1177/1352458507077175 ◽

2007 ◽

Vol 13 (8) ◽

pp. 985-995 ◽

Cited By ~ 72

Author(s):

DA Trojan ◽

D. Arnold ◽

J-P. Collet ◽

S. Shapiro ◽

A. Bar-Or ◽

...

Keyword(s):

Multiple Sclerosis ◽

Psychosocial Factors ◽

Self Efficacy ◽

Mental Fatigue ◽

Additional Contribution ◽

Physical Fatigue ◽

Multivariate Models ◽

Related Factors ◽

Modifiable Factors ◽

General Physical

We determined biopsychosocial correlates of general, physical, and mental fatigue in MS patients, by evaluating the additional contribution of potentially modifiable factors after accounting for non-modifiable disease-related factors. Fifty-three ambulatory MS patients, along with 28 normal controls were recruited for a cross-sectional study. Subjects completed the Multidimensional Fatigue Inventory (MFI) and Fatigue Severity Scale. Potential correlates evaluated were: disease-related factors (disease duration and type, immunomodulating treatment, muscle strength, pain, forced vital capacity (FVC), respiratory muscle strength, body mass index, disability, fibromyalgia), behavioural factors (physical activity, sleep quality) and psychosocial factors (depression, stress, self-efficacy). Multivariate models were calculated for MFI General, Physical, and Mental Fatigue. Age-adjusted multivariate models with non-modifiable factors included the following predictors ( P ≤ 0.10) of 1) MFI General and Mental Fatigue: none; and 2) MFI Physical Fatigue: FVC and disability. The following potentially modifiable predictors ( P ≤ 0.10) made an additional contribution to the models 1) MFI General Fatigue: sleep quality, self-efficacy, pain; 2) MFI Physical Fatigue: self-efficacy, physical activity; and 3) MFI Mental Fatigue: stress, self-efficacy. Fatigue in MS is multidimensional. Correlates of general and physical fatigue are disease-related, behavioural and psychosocial factors. Correlates of mental fatigue are psychosocial factors. Potentially modifiable factors account for a considerable portion of fatigue. Multiple Sclerosis 2007; 13: 985—995. http://msj.sagepub.com

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Relationship of Problematic Smartphone Use, Sleep Quality, and Daytime Fatigue Among Quarantined Medical Students During the COVID-19 Pandemic

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.755059 ◽

2021 ◽

Vol 12 ◽

Author(s):

Chi Zhang ◽

Ping Zeng ◽

Joshua Tan ◽

Siwei Sun ◽

Minghao Zhao ◽

...

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Sleep Disturbance ◽

Mental Fatigue ◽

Mediating Effect ◽

Physical Fatigue ◽

Problematic Smartphone Use ◽

Smartphone Use ◽

Relationship Of ◽

The Relationship

Background: The COVID-19 pandemic brought about great transformation to medical education mode. Although mobile communication devices played a crucial role in online learning among quarantined university students, the potential smartphone addition problems, negative health behaviors, and psychological symptoms need considerable attention. This study examined the relationship of problematic smartphone use (PSU), sleep quality, and daytime fatigue among medical students.Methods: A web-based survey was conducted in six polyclinic hospitals in Beijing between February and May 2020. 1016 participants (26.01 ± 2.46 years, 65.16% female) completed self-report measurements including Short Version Smartphone Addiction Scale (SAS-SV), Athens Insomnia Scale (AIS), and Subjective Fatigue Scale (FS). Spearman correlation coefficients and multiple regression models were used to analyze the association among PSU, sleep quality, and daytime fatigue. We used structural equation modeling to test the mediating effect of sleep quality between PSU and daytime fatigue.Results: 49.70% of the participants had PSU. Significant positive correlations were found among SAS-SV, AIS, and FS scores (r = 0.35–0.61, PS < 0.001). Subjects with PSU were more likely to report sleep disturbance (β = 1.07, P < 0.001, OR = 2.91, 95%CI = 2.17–3.91), physical fatigue (β = 1.16, P < 0.001, OR = 3.18, 95%CI = 2.45–4.15), and mental fatigue (β = 0.88, P < 0.001, OR = 2.42, 95%CI = 1.86–3.14). The indirect effect of PSU on physical fatigue and mental fatigue mediated by sleep quality accounted for 50.03 and 45.43% of the total effect, respectively.Conclusions: PSU was significantly associated with sleep disturbance and fatigue among medical students during the COVID-19 pandemic. Sleep quality mediated the relationship between PSU and daytime fatigue. Our results provide valuable information for maintaining medical students' health status and constructing online education structures.

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Fatigue in breast cancer patients during the therapy: Examining the role of demographic and clinical determinants, psychological factors and social support

TIMS Acta ◽

10.5937/timsact15-32395 ◽

2021 ◽

Vol 15 (1) ◽

pp. 23-36

Author(s):

Ivana Novakov

Keyword(s):

Breast Cancer ◽

Social Support ◽

Cancer Patients ◽

Breast Cancer Diagnosis ◽

Mental Fatigue ◽

Breast Cancer Patients ◽

Physical Fatigue ◽

Social Interventions ◽

Cancer Related Fatigue ◽

Functional Social Support

Cancer-related fatigue is one of the most prominent problems in cancer patients, which often remains inadequately treated, because the etiology of this syndrome is still relatively unknown. This study aimed to examine demographic, clinical, and psycho-social determinants of physical and mental aspects of cancer-related fatigue. The study was conducted on 64 women with a breast cancer diagnosis, aged between 33 and 79 years (M=58.36, SD=11.30) while undergoing radiation therapy. For the assessment of physical and mental fatigue, the Fatigue Assessment Scale (FAS Serbian) was used. Demographic and clinical data, symptoms of anxiety and depression (DASS-21), neuroticism (BFI), and functional and structural social support (Serbian translation MOS-SSS) were examined as well. The results showed that depression, anxiety, and neuroticism correlated positively with both physical and mental fatigue, while structural and functional social support correlated negatively only with the physical dimension. Participants who have a partner reported significantly lower levels of physical fatigue compared to those who are not in a relationship, while such a difference was not detected in the case of mental fatigue. Neuroticism and relationship status were the most important predictors of physical fatigue, while neuroticism alone was the most significant predictor of mental fatigue. The results showed that physical and mental fatigue have different correlates, and that personality traits and social support might be of greater relevance for understanding fatigue, than clinical and demographic factors. These findings may be of importance when assessing the risk factors for fatigue and planning psycho-social interventions to empower breast cancer patients.

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Severe Fatigue in Long COVID: Web-Based Quantitative Follow-up Study in Members of Online Long COVID Support Groups

Journal of Medical Internet Research ◽

10.2196/30274 ◽

2021 ◽

Vol 23 (9) ◽

pp. e30274

Author(s):

Maarten Van Herck ◽

Yvonne M J Goërtz ◽

Sarah Houben-Wilke ◽

Felipe V C Machado ◽

Roy Meys ◽

...

Keyword(s):

Health Care ◽

Support Groups ◽

Mental Fatigue ◽

Physical Fatigue ◽

Web Based ◽

Fatigue Score ◽

Severe Fatigue ◽

T1 And T2 ◽

Median Change

Background Fatigue is the most commonly reported symptom in patients with persistent complaints following COVID-19 (ie, long COVID). Longitudinal studies examining the intensity of fatigue and differentiating between physical and mental fatigue are lacking. Objective The objectives of this study were to (1) assess the severity of fatigue over time in members of online long COVID peer support groups, and (2) assess whether members of these groups experienced mental fatigue, physical fatigue, or both. Methods A 2-wave web-based follow-up study was conducted in members of online long COVID peer support groups with a confirmed diagnosis approximately 3 and 6 months after the onset of infectious symptoms. Demographics, COVID-19 diagnosis, received health care (from medical professionals or allied health care professionals), fatigue (Checklist Individual Strength–subscale subjective fatigue [CIS-Fatigue]; 8-56 points), and physical and mental fatigue (self-constructed questions; 3-21 points) were assessed. Higher scores indicated more severe fatigue. A CIS-Fatigue score ≥36 points was used to qualify patients as having severe fatigue. Results A total of 239 patients with polymerase chain reaction/computed tomography–confirmed COVID-19 completed the survey 10 weeks (SD 2) and 23 weeks (SD 2) after onset of infectious symptoms, respectively (T1 and T2). Of these 239 patients, 198 (82.8%) were women; 142 (59.4%) had no self-reported pre-existing comorbidities; 208 (87%) self-reported being in good health before contracting COVID-19; and 62 (25.9%) were hospitalized during acute infection. The median age was 50 years (IQR 39-56). The vast majority of patients had severe fatigue at T1 and T2 (n=204, 85.4%, and n=188, 78.7%, respectively). No significant differences were found in the prevalence of normal, mild, and severe fatigue between T1 and T2 (P=.12). The median CIS-Fatigue score was 48 points (IQR 42-53) at T1, and it decreased from T1 to T2 (median change: –2 points, IQR –7 to 3; P<.001). At T1, a median physical fatigue score of 19 points (IQR 16-20) and a median mental fatigue score of 15 points (IQR 10-17) were reported; these scores were lower at T2 for physical but not for mental fatigue (median change for physical fatigue –1 point, IQR –3 to 0, P<.001; median change for mental fatigue 0 points, IQR –3 to 3, P=.52). At the time of completing the follow-up survey, 194/239 (81.2%) and 164/239 (68.6%) of all patients had received care from at least one medical professional and one allied health care professional, respectively. Conclusions Fatigue in members of online long COVID support groups with a confirmed COVID-19 diagnosis decreases from 10 to 23 weeks after onset of symptoms. Despite this, severe fatigue remains highly prevalent. Both physical and mental fatigue are present. It remains unclear whether and to what extent fatigue will resolve spontaneously in the longer term. Trial Registration Netherlands Trial Register NTR8705; https://www.trialregister.nl/trial/8705.

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Trait Energy and Fatigue Modify the Effects of Caffeine on Mood, Cognitive and Fine-Motor Task Performance: A Post-Hoc Study

Nutrients ◽

10.3390/nu13020412 ◽

2021 ◽

Vol 13 (2) ◽

pp. 412

Author(s):

Daniel T. Fuller ◽

Matthew Lee Smith ◽

Ali Boolani

Keyword(s):

Task Performance ◽

Test Performance ◽

Short Form ◽

Motor Task ◽

Mental Fatigue ◽

Fine Motor ◽

Physical Fatigue ◽

Physical Energy ◽

High Trait ◽

Using Data

Multiple studies suggest that genetic polymorphisms influence the neurocognitive effects of caffeine. Using data collected from a double-blinded, within-participants, randomized, cross-over design, this study examined the effects of trait (long-standing pre-disposition) mental and physical energy and fatigue to changes in moods (Profile of Mood Survey-Short Form (POMS-SF), state mental and physical energy and fatigue survey), cognitive (serial subtractions of 3 (SS3) and 7 (SS7)), and fine-motor task (nine-hole peg test) performance after consuming a caffeinated beverage and a non-caffeinated placebo. Results indicate that trait mental and physical fatigue and mental energy modified the effects of caffeine on vigor, tension-anxiety, physical, and mental fatigue. Additionally, we report that those who were high trait physical and mental fatigue and low-trait mental energy reported the greatest benefit of caffeine on the SS3 and SS7, while those who were high trait mental and physical fatigue reported the greatest benefit of consuming caffeine on fine-motor task performance. The results of our study suggest that trait mental and physical fatigue and mental energy modify the acute effects of caffeine among a group of healthy, young adults and should be measured and controlled for by researchers who choose to study the effects of caffeine on acute moods and cognitive and fine-motor task performance.

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