DaviesKDuresENgWF. Fatigue in inflammatory rheumatic diseases: current knowledge and areas for future research. Nat Rev Rheumatol2021; 17(11): 651–664.
2.
DallawayNLucasSJERingC. Cognitive tasks elicit mental fatigue and impair subsequent physical task endurance: effects of task duration and type. Psychophysiology2022; 59(12): e14126.
3.
KayserKCPuigVAEsteppJR. Predicting and mitigating fatigue effects due to sleep deprivation: a review. Front Neurosci2022; 16: 930280.
4.
ISO. Ergonomics of the thermal Environment-Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria. Geneva: International Organization for Standardization, 2005, vol 7730.
5.
Estevez-LopezFMudieKWang-SteverdingXBakkenIIvanovsACastro-MarreroJNaculLAlegreJZalewskiPSłomkoJStrandEBPhebyDShikovaELorussoLCapelliESekulicSScheibenbogenCSepúlvedaNMurovskaMLacerdaE. Systematic review of the epidemiological burden of myalgic encephalomyelitis/chronic fatigue syndrome across Europe: current evidence and EUROMENE research recommendations for epidemiology. J Clin Med2020; 9: 1557.
6.
XuFHuJYangQJiYChengCZhuLShenH. Prevalence and factors associated with fatigue in patients with ulcerative colitis in China: a cross-sectional study. BMC Gastroenterol2022; 22: 281.
7.
WuQGaoJBaiDZhongYYangZJiangX. Prevalence of chronic fatigue syndrome in China: a meta-analysis. Youjiang Med J2020; 48: 727–735.
8.
FanXXingCYangLWangJFengL. Fatigue, self-efficacy and psychiatric symptoms influence the quality of life in patients with myasthenia gravis in Tianjin, China. J Clin Neurosci2020; 79: 84–89.
9.
LimEAhnYJangELeeSLeeSSonC. Systematic review and meta-analysis of the prevalence of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). J Transl Med2020; 18: 100.
10.
RenXPritchardEvan VredenCNewnamSIlesRXiaT. Factors associated with fatigued driving among Australian truck drivers: a cross-sectional study. Int J Environ Res Public Health2023; 20(3): 2732.
11.
CellaMChalderT. Measuring fatigue in clinical and community settings. J Psychosom Res2010; 69(1): 17–22.
12.
AmirkhanJH. Stress overload: a new approach to the assessment of stress. Am J Community Psychol2012; 49(1-2): 55–71.
13.
Visser-KeizerACHogenkampAWesterhof-EversHJEgberinkIJLSpikmanJM. Dutch multifactor fatigue scale: a new scale to measure the different aspects of fatigue after acquired brain injury. Rehabil2015; 96: 1056–1063.
14.
FriedrichMNoweEHofmeisterDKuhntSLeuteritzKSenderAStöbel-RichterYGeueK. Psychometric properties of the fatigue questionnaire EORTC QLQ-FA12 and proposal of a cut-off value for young adults with cancer. Health Qual Life Outcome2018; 16(1): 125.
15.
ClearyPJetteA. Reliability and validity of the functional status questionnaire. Qual Life Res2000; 9(6): 747–753.
16.
SmetsEMGarssenBBonkeBDe HaesJC. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res1995; 39(3): 315–325.
17.
GlynnNWSantanastoAJSimonsickEMBoudreauRMBeachSRSchulzRNewmanAB. The Pittsburgh Fatigability scale for older adults: development and validation. J Am Geriatr Soc2015; 63(1): 130–135.
18.
Ghanbary SartangAAshnagarMHabibiESadeghiS. Evaluation of Rating Scale Mental Effort (RSME) effectiveness for mental workload assessment in nurses. J Occup Health Epidemiol2016; 5(4): 211–217.
19.
HartSStavelandL. Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv Psychol1988; 52: 139–183.
20.
YangCMWuCH. The situational fatigue scale: a different approach to measuring fatigue. Qual Life Res2005; 14(5): 1357–1362.
21.
Shuman-ParetskyMZemonVFoleyFWHoltzerR. Development and validation of the state-trait inventory of cognitive fatigue in community-dwelling older adults. Arch Phys Med Rehabil2017; 98(4): 766–773.
22.
ReidGBNygrenTE. The subjective workload assessment technique: a scaling procedure for measuring mental workload. Adv Psychol1988; 52: 185–218.
23.
CimprichBVisovattiMRonisDL. The Attentional Function Index - a self-report cognitive measure. Psycho Oncol2011; 20: 194–202.
24.
DingesDFPowellJW. Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations. Instrumentation and Computers1985; 17: 652–655.
25.
MendozaTRWangXSCleelandCSMorrisseyMJohnsonBAWendtJKHuberSL. The rapid assessment of fatigue severity in cancer patients: use of the Brief Fatigue Inventory. Cancer1999; 85(5): 1186–1196.
26.
BasnerMDingesDF. Maximizing sensitivity of the psychomotor vigilance test (pvt) to sleep loss. Sleep2011; 34: 581–591.
27.
TranYCraigACraigRChaiRNguyenH. The influence of mental fatigue on brain activity: evidence from a systematic review with meta-analyses. Psychophysiology2020; 57(5): e13554.
28.
TrejoLKubitzKRosipalRKochaviRMontgomeryL. EEG-based estimation and classification of mental fatigue. Psychology2015; 06: 572–589.
29.
ShenKQLiXOngCShaoSWilder-SmithPV. EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate. Clin Neurophysiol2008; 119: 1524–1533.
30.
KunasegaranKIsmailAMHRamasamySGnanouJVCaszoBAChenPL. Understanding mental fatigue and its detection: a comparative analysis of assessments and tools. PeerJ2023; 11: e15744.
31.
Bsis-VandervlietJFF. Discovery of the near-infrared window into the body and the early development of near-infrared spectroscopy. J Biomed Opt. 1999; 4: 392–396.
32.
BalardinJBZimeo MoraisGAFuruchoRATrambaiolliLVanzellaPBiazoliCJrSatoJR. Imaging brain function with functional near-infrared spectroscopy in unconstrained environments. Front Hum Neurosci2017; 11: 258.
33.
BorragánGGilsonMAtasASlamaHLysandropoulosADe SchepperMPeigneuxP. Cognitive fatigue, sleep and cortical activity in multiple sclerosis disease. A behavioral, polysomnographic and functional near-infrared spectroscopy investigation. Front Hum Neurosci2018; 12: 378.
34.
BerginströmNNordströmPEkmanUErikssonJAnderssonMNybergLNordströmA. Using functional magnetic resonance imaging to detect chronic fatigue in patients with previous traumatic brain injury: changes linked to altered striato-thalamic-cortical functioning. J Head Trauma Rehabil2018; 33: 266–274.
35.
HamannACarstengerdesN. Assessing the development of mental fatigue during simulated flights with concurrent EEG-fNIRS measurement. Sci Rep2023; 13: 4738.
36.
AhnSNguyeTJangHKimJJunSC. Exploring neuro-physiological correlates of drivers' mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data. Front Hum Neurosci2016; 10: 00219.
37.
BarutchuACarterOHesterRLevyN. Strength in cognitive self-regulation. Front Psychol2013; 4: 174.
38.
CsathóÁVan der LindenDMatuzA. Change in heart rate variability with increasing time-on-task as a marker for mental fatigue: a systematic review. Biol Psychol2024; 185: 108727.
39.
MatuzAvan der LindenDKisanderZHernádiIKázmérK. Csathó Á. Enhanced cardiac vagal tone in mental fatigue: analysis of heart rate variability in Time-on-Task, recovery. Reactivity. PLoS One2021; 16(3): e0238670.
40.
LimJWuWCWangJDetreJADingesDFRaoH. Imaging brain fatigue from sustained mental workload: an ASL perfusion study of the time-on-task effect. Neuroimage2010; 49(4): 3426–3435.
41.
GuiDXuSZhuSFangZSpaethAMXinYFengTRaoH. Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload. Neuroimage2015; 120: 323–330.
42.
HopstakenJFvan der LindenDBakkerABKompierMAJ. The window of my eyes: task disengagement and mental fatigue covary with pupil dynamics. Biol Psychol2015; 110: 100–106.
43.
HerlambangMBTaatgenNACnossenF. The role of motivation as a factor in mental fatigue. Hum Factors2019; 61(7): 1171–1185.
44.
HoriuchiROgasawaraTMikiN. Fatigue assessment by blink detected with attachable optical sensors of dye-sensitized photovoltaic cells. Micromachines2018; 9(6): 310.
45.
TsengVWValliappanNRamachandranVChoudhuryTNavalpakkamV. Digital biomarker of mental fatigue. NPJ Digit Med2021; 4(1): 47.
46.
GonzalezKSasangoharFMehtaRKLawleyMErraguntlaM. Measuring fatigue through heart rate variability and activity recognition: a scoping literature review of machine learning techniques. In: Proceedings of the Human Factors and Ergonomics Society. Washington, DC: Sage Publications, 2017.
47.
Díaz-GarcíaJGonzález-PonceIPonce-BordónJCMaL-GRamírez-BravoIRubio-MoralesAGarcía-CalvoMental LoadTAssessmentF. Instruments: a systematic review. Int J Environ Res Publ Health2022; 19(1):419.
48.
GabaixXLaibsonD. Moloche G and weinberg S E. The allocation of attention: theory and evidence. SSRN Electron J2003; 96(2): 1–37.
49.
KarGHedgeA. Effects of a sit-stand-walk intervention on musculoskeletal discomfort, productivity, and perceived physical and mental fatigue, for computer-based work. Int J Ind Ergon2020; 78: 102983.