How sleep is related to fatigue

Lavidor, Michal; Weller, Aron; Babkoff, Harvey

doi:10.1348/135910703762879237

Cited by 83 publications

(72 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It has been found that cancer patients who are less active and have increased night awakenings report higher fatigue levels [3]. However, in a recent study fatigue has been shown to be associated with sleep quality but not with sleep latency [19]. An association between fatigue and the severity of pain has been confirmed in several research studies [8,21,27,30].…”

Section: Discussionmentioning

confidence: 98%

Factors predicting fatigue in breast cancer patients

Haghighat

Akbari

Holakouei

et al. 2003

Supportive Care in Cancer

101

View full text Add to dashboard Cite

A prospective study was designed to investigate the factors predicting fatigue in breast cancer patients using the Cancer Fatigue Scale (CFS) in addition to the Hospital Anxiety and Depression Scale (HADS) and a questionnaire containing items on demographic and clinical data, and measures of patients' physical symptoms. The CFS measures total fatigue score ranging from 0 (lowest level) to 60 (highest level) and contains three subscales namely: physical, affective and cognitive fatigue. The questionnaires were administered to a consecutive sample of breast cancer patients attending the Iranian Center for Breast Cancer either for their treatment or follow-up examination. In all, 112 patients were studied. The mean age of the respondents was 45.7 years (SD11.0). Most had stage II breast cancer (67%) and had completed their initial treatment (45%). The mean total fatigue score of the patients was 18.7 (SD 13.5) and overall 49% reported experiencing fatigue to some degree (from quite a bit to very much). Severe anxiety and depression was reported by 16% and 32%, respectively. The regression analysis revealed that fatigue was predicted by depression ( P=0.003), pain ( P=0.005), current tamoxifen use ( P=0.001), undergoing mastectomy ( P=0.03) and anxiety ( P=0.04). The other variables studied did not emerge as significant predictors of fatigue in the regression analysis. The study findings suggest that in comparison to treatment factors, physical and psychological symptoms have a more important role in cancer-related fatigue and that fatigue should be recognized and managed even before commencing breast cancer treatment.

show abstract

Section: Discussionmentioning

confidence: 98%

Factors predicting fatigue in breast cancer patients

Haghighat

Akbari

Holakouei

et al. 2003

Supportive Care in Cancer

101

View full text Add to dashboard Cite

show abstract

“…18 Fatigue is generally well correlated with sleep quality. 19 Previous involvement in a crash with injuries or fatalities was positively associated with moderate to severe impairments in sleep quality as assessed from the Pittsburgh Sleep Quality Index and negatively associated with answers from a simple query (''do you experience fatigue when driving? ''; a far less sensitive question).…”

Section: Discussionmentioning

confidence: 99%

Working conditions and fatigue in professional truck drivers at Israeli ports

Sabbagh-Ehrlich

2005

Inj Prev

View full text Add to dashboard Cite

Background: Trucks represent 6% of all vehicles, but truck crashes account for 20% of road deaths in Israel, even though travel distances are usually short (,200 km) and overnight travel is uncommon. Objective: To determine occupational and individual predictors of fatigue, falling asleep at the wheel, and involvement in crashes with injuries and deaths in truck drivers. Setting and methods: We carried out field interviews of 160 port truck drivers regarding driver characteristics, workplace and driving conditions, employer-employee relations, medical conditions, sleep quality and fatigue, falling asleep at the wheel, and involvement in road crashes. Results: One day before interview, 38.1% of the drivers had worked more than the 12 hour legal limit. More than 30% reported falling asleep at the wheel recently, and 13% had prior involvement in a sleep related crash. Sixty seven (41.9%) drivers said that their employer forced them to work beyond the legal 12 hour daily limit. Involvement in a crash with casualties was associated with poor sleep quality (adjusted OR = 2.9; p = 0.042) and frequent difficulty finding parking when tired (OR = 3.7; p = 0.049). Self assessment of fatigue underestimated fatigue from the Pittsburgh Sleep Quality Questionnaire. However fatigue occurred in many drivers without sleep problems and many crashes occurred without fatigue. Conclusions: Prevention requires measures to reduce work stresses, screening drivers, speed control, and modal shifts. The work risks and adverse outcomes of truck drivers in large countries with long overnight journeys occur in a small country with small distances, relatively short work journeys, and little overnight travel.

show abstract

“…This fi nding corresponds to observed PSQI patterns in patients with CFS 35 and to the results of a population-based study, in which fatigue was predicted by sleep quality and psychological symptoms rather than by amount of sleep. 5 Both in populations reporting vital exhaustion and in populations reporting major stress or depression, a poorer quality of sleep has been reported by patients who show a reduction of slow wave sleep, which represents the stages of deep sleep and is thought to mark a restorative process. [36][37][38] From our descriptive study, we cannot infer causal relationships, nor can we disentangle temporal associations.…”

Section: Sleepmentioning

confidence: 99%

“…[5][6][7][8] Knowledge about the course of fatigue and related problems in a heterogeneous primary care population is scarce, however, because most longitudinal studies on fatigued populations have been performed in highly selected groups, such as patients with chronic fatigue syndrome (CFS), postviral fatigue, or cancer.…”

mentioning

confidence: 99%

Prognosis of Fatigue and Functioning in Primary Care: A 1-Year Follow-up Study

Nijrolder¹,

Windt²,

Horst³

2008

The Annals of Family Medicine

View full text Add to dashboard Cite

PURPOSE Although fatigue is a common presenting symptom in primary care and its course and outcomes often remain unclear, cohort studies among patients seeking care for fatigue are scarce. We therefore aimed to investigate patterns in the course of fatigue and relevant secondary outcomes in a large cohort of patients who sought care for a main symptom of fatigue. METHODSWe performed an observational cohort study in 147 primary care practices. Patients consulting their general practitioner for a new episode of fatigue were sent questionnaires at 1, 4, 8, and 12 months after baseline. We collected measures of fatigue, perceived health and functioning, absenteeism, psychological symptoms, and sleep using the Checklist Individual Strength, the 36-Item Short Form Health Survey, the Four-Dimensional Symptoms Questionnaire, and the Pittsburgh Sleep Questionnaire Inventory. Patients were classifi ed into 4 subgroups based on fatigue severity scores over time. We assessed patterns in the course of all outcomes in these subgroups and in the total population, and tested changes over time and differences between subgroups. RESULTS A total of 642 patients were enrolled in the study. Response rates during follow-up ranged between 82% and 88%. For 75% of the patients, 4 distinct groups could be discerned: 26% of patients had continuously high scores for fatigue, 17% had a fast recovery, 25% had a slow recovery, and 32% initially improved but then had a recurrence of fatigue. Patterns for the secondary outcomes of symptoms and functioning were all similar to the pattern for fatigue within each of the subgroups. CONCLUSIONSThe fi ndings of this study suggest a longitudinal relationship between the severity of fatigue, impaired functioning, psychological symptoms, and poor sleep. Physicians should be aware that a substantial proportion of patients seeking care for fatigue have these additional health and psychosocial problems. 2008;6:519-527. DOI: 10.1370/afm.908. Ann Fam Med INTRODUCTIONF atigue is a nonspecifi c symptom and often the main one for which patients consult general practitioners; its prevalence ranges from 5% to 10%. [1][2][3][4] Fatigue frequently remains the only (symptom) diagnosis in an episode of care.2 Serious functional impairment, psychological symptoms, and disturbed sleep often accompany fatigue. [5][6][7][8] Knowledge about the course of fatigue and related problems in a heterogeneous primary care population is scarce, however, because most longitudinal studies on fatigued populations have been performed in highly selected groups, such as patients with chronic fatigue syndrome (CFS), postviral fatigue, or cancer.Available studies on fatigue in primary care often concern a general population of primary care patients rather than patients seeking care for fatigue as a main symptom, have a follow-up limited to a single measurement rather than repeated measurements, or have a small sample size. 520 FAT IGUE IN PR IM A RY C A R EOften, only patients with chronic fatigue have been included. 9 We therefo...

show abstract

How sleep is related to fatigue

Abstract: The data further our understanding of the multifaceted nature of human fatigue and underline the greater importance of perceived sleep quality, compared to other sleep characteristics, in predicting fatigue.

Cited by 83 publications

References 38 publications

Factors predicting fatigue in breast cancer patients

Factors predicting fatigue in breast cancer patients

Working conditions and fatigue in professional truck drivers at Israeli ports

Prognosis of Fatigue and Functioning in Primary Care: A 1-Year Follow-up Study

Contact Info

Product

Resources

About