Measuring fatigue following stroke: the Chinese version of the Fatigue Assessment Scale

Fatigue predicts level of community integration in people with stroke

BACKGROUND

The independent predictive power of fatigue for community integration has not been investigated, although there is an increasing amount of literature that recognizes the importance of fatigue in people with stroke.

OBJECTIVES

To examine the correlation between community integration and fatigue, walking endurance, and fear of falling; and to quantify the relative contribution of fatigue to community integration in people with stroke.

METHODS

This was a cross-sectional study with 75 community-dwelling people with stroke. Data were collected using the Community Integration Measure (CIM), Fatigue Assessment Scale (FAS), 6-minute walk test (6MWT), and Survey of Activities and Fear of Falling in the Elderly (SAFE). Multiple linear regressions (forced entry method) were used to quantify the relative power of the FAS score to predict community integration in a model covering distance in the 6MWT and the SAFE score.

RESULTS

After controlling for age, the CIM score significantly correlated with the scores for FAS (r=-0.48, p < 0.001), 6MWT distance (r = 0.24, p = 0.039), and SAFE (r=-0.39, p = 0.001). The entire model, including age, FAS score, 6MWT distance, and SAFE score, explained 26.1% of the variance in the CIM scores (F [4, 70] = 7.52, p < 0.001). The FAS scores independently explained 10.6% of the variance in the CIM scores.

CONCLUSIONS

This study suggests that fatigue is an independent predictor of community integration among people with stroke, taking into account walking endurance and fear of falling.

Effects of chronotype on sleep, mood and cardiovascular circadian rhythms in rotating night shift medical workers

PURPOSE

Whether chronotype affects the health outcomes of night shift work populations is unknown. This study aimed to assess the influence of different chronotypes in the rotating night shift population on sleep status, mood, blood pressure (BP), and heart rate variability (HRV), as well as the circadian rhythm of BP and HRV.

METHODS

A total of 208 rotating night shift workers were included. All participants completed structured questionnaires to assess chronotype, mood and sleep status. During their daily lives outside of the night shift, they underwent 24-hour Holter electrocardiogram monitoring and 24-hour ambulatory blood pressure monitoring. Day-time and night-time BP and BP dipping were obtained. Day-time and night-time HRV values (SDNN, RMSSD, LF, HF, LF nu, SD1, SD2 and SD2/SD1) were calculated and fitted to the cosine period curve. Three circandian parameters (mesor, amplitude and acrophase) were extracted to quantify the circadian rhythm of the HRV indices.

RESULTS

Among all three groups, E-type showed more fatigue and sleepiness. In addition, E-type showed blunted diastolic BP dipping. Notably, E-type showed association with higher RMSSD, LF, HF and SD1 in the night time, and higher mesors of RMSSD and LF and amplitude of SD2/SD1 in circadian analysis.

CONCLUSION

Chronotype is a factor affecting fatigue, sleepiness and cardiovascular circadian rhythms of rotating night shift workers. Chronotype should be taken into consideration for managing night-shift rotation to promote occupational health.

Validation of the Turkish version of the Neurological Fatigue Index for Stroke

INTRODUCTION

Post-stroke fatigue is an often overlooked problem that hinders recovery. Therefore, stroke patients should be evaluated for fatigue during the recovery period. This study aimed to adapt the Neurological Fatigue Index for Stroke (NFI-Stroke) into the Turkish language.

METHODS

This methodological study was carried out on 110 stroke patients admitted to a university hospital in Istanbul. In addition to the NFI-Stroke, Functional Independence Measure, National Institutes of Health Stroke Scale, modified-Rankin Scale, Fatigue Severity-Scale, and Stroke Self Efficacy Questionnaire were used to collect data.

RESULTS

Since the linguistic validity study of the scale has already been carried out, only psychometric properties were evaluated. The items in the scale were grouped under two factors. The Cronbach`s alpha coefficient was found to be 0.96 for the physical sub-dimension and 0.84 for the cognitive sub-dimension. Item-total correlation coefficients were found between 0.74-0.91 for the physical sub-dimension, and 0.82-0.91 for the cognitive sub-dimension. The test-retest evaluation confirmed the consistency of the responses to the scale against time. The scale was correlated with other scales used in the study as expected.

CONCLUSIONS

The NFI-Stroke will be useful in clinical practice in assessment of fatigue, which may affect the adaptation of patients to rehabilitation.

Post-stroke fatigue: a review of development, prevalence, predisposing factors, measurements, and treatments

Background

Post-stroke fatigue (PSF) is a ubiquitous and overwhelming symptom for most stroke survivors. However, there are no effective management strategies for PSF, which is partly due to our limited understanding.

Objective

In this paper, we review the development, prevalence, predisposing factors, measurements, and treatments of PSF.

Results

PSF is an independent symptom after stroke, with a prevalence ranging from 42 to 53%, which depends on the selection of measurement tools and stroke characteristics. It is affected by biological, physical, and psychological factors, among which inflammation may play a key role.

Conclusion

Numerous but non-specific evaluation measurement tools limit the management of PSF. In clinical practice, it may be beneficial to identify PSF by combining scales and objective indexes, such as walking tests and electromyographic examinations. There are no evidence-based interventions to improve PSF. However, increasing evidence suggests that transcranial direct-current stimulation and mindfulness-based interventions may become promising treatments. Further studies are urgently needed to better understand the etiology of PSF, thereby providing the basis for developing new measurement tools and targeted treatments.

Health status of aged women with or without the experience of practicing yoga

BACKGROUND

Yoga is a popular training practice that enhances women's physical activity level and modifies the major risk factors contributing to noncommunicable diseases. This study aimed to compare general health and cardiovascular health, musculoskeletal health, psychological health, and health-related quality of life between aged women with and without long-term yoga practice.

METHODS

Thirty-two female yoga practitioners (mean age 56 years) with ≥ 2 years experience in regular yoga practice and 32 age-matched women without yoga experience participated in the study. Between-group comparisons was performed to explore the differences in various health outcomes, including body build indices, exercise endurance, blood pressure, and heart rate variability; hamstring flexibility, upper-limb muscle strength, shoulder range of motion, and upper-limb function; and the symptoms of anxiety and depression, sleep quality, and fatigue.

RESULTS

Our findings revealed that yoga practitioners demonstrated greater hamstring flexibility, shoulder ROM on the non-dominant side, and hand-grip strength; a higher heart rate variability parameter value (RMSSD); and shorter sleep latency than those who did not practice yoga.

CONCLUSIONS

In view of the encouraging results of the long-term benefits of yoga practice, it warrants being promoted among aged women to enhance their physical and mental well-being.

Performance of physical, cardiovascular, and psychological functions in middle-aged women with and without breast cancer

PURPOSE

To compare the physical performance, including upper-limb motor and cardiovascular functions, and psychological functions, including anxiety and depression, sleep, and fatigue, between women with and without breast cancer.

METHODS

Thirty-two women with breast cancer and 32 healthy counterparts were recruited for the study. Upper-limb muscle strength, shoulder range of motion, and upper-limb function were assessed using a handheld dynamometer, a goniometer, and the short form of the Disabilities of Arm-Shoulder-Hand Questionnaire, respectively. Exercise endurance and cardiovascular functions were assessed using the 6-min walk test and blood pressure and heart rate variability, respectively. The Hospital Anxiety and Depression Scale, the Pittsburgh Sleep Quality Index, and the Fatigue Assessment Scale were used to assess the symptoms of anxiety and depression, sleep quality, and fatigue, respectively.

RESULTS

Breast cancer participants' body-weight-adjusted upper-limb strength of both the affected and unaffected sides (0.11-0.14) was only 61.1-77.8% of those of the healthy participants (0.18). Their shoulder mobility of the affected side (flexion: 161.64°; abduction: 157.01°) were 94.2% (flexion) and 92.5% (abduction) of those of the healthy participants (flexion: 171.56°; abduction: 169.68°), respectively. Breast cancer participants had higher quickDASH mean score (19.53), HADS-A mean score (6.78), HADS-D mean score (4.72), global PSQI mean score (7.22) and FAS mean score (25.97) as well as shorter mean distance covered by 6 MWT (496.66 m) than those of the healthy participants.

CONCLUSIONS

Rehabilitative interventions, such as mind-body interventions and exercise training, target physical fitness and promote the psychological health of women with breast cancer are necessary.

Global prevalence estimates of poststroke fatigue: A systematic review and meta-analysis

BACKGROUND AND PURPOSE

Poststroke fatigue (PSF) is a common complication after stroke. However, information on the global prevalence of PSF and how this varies geographically and by population is lacking. Our aim was to examine the global prevalence of PSF and identify sources of heterogeneity in the published literature.

METHODS

Four medical databases (PubMed, EMBASE, PsycINFO, and Cochrane Database of Systematic Reviews) were searched from their inception to 28 February 2022. The Joanna Briggs Institute Critical Appraisal Instrument for studies reporting prevalence data (JBI) was used to assess the risk of bias (ROB) of the included studies. The primary outcome was the prevalence of PSF determined using a random-effects model. Subgroup analysis and meta-regression models were used to define the source of heterogeneity.

RESULTS

In all, 66 studies with 11,697 patients were included in this meta-analysis. The overall quality of the included studies was medium. The global pooled prevalence of PSF in stroke survivors was 46.79% (95% confidence interval (CI), 43.41-50.18%). The prevalence estimates of PSF based on the Fatigue Severity Scale (FSS), Multidimensional Fatigue Inventory-20 (MFI-20), and Fatigue Assessment Scale (FAS) were 47.44% (95% CI, 43.20-51.67%), 51.69% (95% CI, 44.54-58.83%), and 36.13% (95% CI, 23.07-49.18%), respectively. Prevalence rates of PSF were higher in females (53.19%; 95% CI, 46.46-59.92%), in hemorrhagic stroke (57.54%; 95% CI, 40.55-74.53%), in those with a college degree or higher (53.18%; 95% CI, 42.82-63.54%), and in those with unmarried or divorced status (59.78%; 95% CI, 44.72-74.83%).

CONCLUSIONS

The prevalence of PSF in stroke survivors is high, affecting almost half of all stroke sufferers. PSF rates were higher with female gender, being unmarried or divorced, having a higher educational level, and being hemorrhagic compared to ischemic stroke.

TRIAL REGISTRATION

PROSPERO (CRD42021269441).

A serial mediation model of social media addiction and college students' academic engagement: the role of sleep quality and fatigue

BACKGROUND

It has been documented that social media addiction (SMA) has a detrimental effect on college students' academic engagement. However, the mechanisms underlying this association are not well understood. This study aimed to determine the serial mediation effects of sleep quality and fatigue on the relationship between SMA and academic engagement among college students.

METHODS

A cross-sectional survey was conducted with 2661 college students (43.3% males, mean age = 19.97 years). The participants completed the Bergen Social Media Addiction Scale, the Utrecht Student Work Engagement Scale for Students, the Pittsburgh Sleep Quality Index, and the Fatigue Assessment Scale. The serial mediation effects were examined using Model 6 in the Hayes' PROCESS macro for SPSS.

RESULTS

The results showed that SMA among college students had a direct negative relationship with their academic engagement (Effect = - 0.051, 95% CI: -0.087 to - 0.015). In addition, sleep quality and fatigue mediated the relationship between SMA and academic engagement both independent and serially, with the independent mediation effect of sleep quality being - 0.031 (95% CI: -0.048 to - 0.016), the independent mediation effect of fatigue being - 0.109 (95% CI: -0.133 to - 0.088), and the serial mediation effect of sleep quality and fatigue being - 0.080 (95% CI: -0.095 to - 0.066). The total indirect effect of the three mediation paths was 80.9%.

CONCLUSIONS

Decreased academic engagement caused by SMA can be aggravated by poor sleep quality and fatigue. Strengthening supervision and intervention in social media use among college students, supplemented by attention to psychosomatic health, including sleep quality and fatigue could promote their engagement in academic work.

Psychometric evaluation of the Chinese version of Sleep Health Index in pregnant women

OBJECTIVE

The aim of this study was to investigate the psychometric properties of the Chinese version of the Sleep Health Index (SHI-C) among pregnant women.

DESIGN

Cross-sectional design.

SETTING

Outpatient clinic of three hospitals in China.

PARTICIPANTS

Pregnant women (N = 264) aged between 18 and 45 years were recruited via convenience sampling.

METHODS

The Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Insomnia Severity Index (ISI) were used to measure sleep quality, daytime sleepiness, and insomnia, respectively. The Fatigue Assessment Scale (FAS) and the Edinburgh Postnatal Depression Scale (EPDS) were used to measure fatigue and depression, respectively. Structural validity was assessed via confirmatory factor analysis (CFA). Concurrent and convergent validity were assessed using bivariate correlation analyses. Known-group validity was assessed by comparing the SHI-C score between different groups. Cronbach's α was calculated for reliability.

FINDINGS

The average sample age was 30.6 years old and their average score of SHI-C was 86.4 (SD 8.2). Based on PSQI, ISI, and ESS, 43.6%, 32.2%, and 26.9% had poor sleep quality, insomnia, and excessive daytime sleepiness, respectively. The SHI-C total and sleep quality sub-index scores had moderate to strong correlations with both PSQI (r=-0.542, p<0.01; r=-0.648, p<0.01) and ISI (r=-0.692, p<0.01; r=-0.752, p<0.01). The SHI-C total and sleep quality sub-index scores were significantly associated with ESS, FAS, and EPDS (r=-0.171 to -0.276; p<0.01). The SHI-C total score was higher in the second trimester and among those who were working, never drank coffee, or took a nap every day. The Cronbach's α of the SHI-C total and the sleep quality sub-index were 0.723 and 0.806, respectively. The Cronbach's α of sleep duration and disordered sleep sub-indices were 0.594 and 0.545, respectively.

KEY CONCLUSIONS

Overall, the SHI-C has good validity and acceptable reliability among the pregnant population in China. It can be a useful tool for the assessment of sleep health. More research is warranted to refine the sleep duration and disordered sleep sub-indices.

IMPLICATIONS FOR PRACTICE

The use of SHI-C would facilitate the assessment of sleep health among pregnant women, which could contribute to the promotion of perinatal care.

Physical, psychological and pandemic fatigue in the fourth wave of COVID-19 outbreak in Hong Kong: population-based, cross-sectional study

OBJECTIVES

To examine the physical, psychological and pandemic fatigue during the COVID-19 pandemic, and to explore the correlates of fatigue using a representative, population-based, community sample of Chinese adults in Hong Kong.

DESIGN

Cross-sectional study.

SETTING

Telephone surveys in Hong Kong from December 2020 to January 2021 (during the fourth wave of COVID-19 outbreak).

PARTICIPANTS

1255 adults living in Hong Kong aged 18 years or older sampled using a multistage approach (53% women).

MAIN OUTCOME MEASURES

Physical and psychological fatigue: The Fatigue Assessment Scale (with a cut-off score of 22). Pandemic fatigue: Adherence to six disease prevention measures (DPM) recommended by the government.

RESULTS

About 25.7% of the participants were feeling fatigued physically and psychologically. Physical and psychological fatigue was not directly associated with pandemic fatigue, and their association was fully mediated by self-perceived disruptions of COVID-19-related restrictions in daily life. Results from the hierarchical regression analysis showed that higher levels of fatigue were associated with economically inactive status (B=0.18, SE=0.04, p<0.001), having family or friend infected with COVID-19 before or during the study (B=0.17, SE=0.01, p<0.001), lower acceptability of DPM (B=-0.16, SE=0.03, p<0.001), greater disruptions in daily life (B=0.22, SE=0.02, p<0.001), and greater trust in authorities in ending the pandemic (B=0.11, SE=0.02, p<0.001).

CONCLUSIONS

Fatigue affected many individuals during the pandemic. Disruptions of DPM in daily life may serve as a mediator in the association between pandemic fatigue and physical and psychological fatigue, reflecting the need of effective interventions to reduce self-perceived disruptions of COVID-19-related restrictions in the general population. Resources should be allocated to provide sufficient services to individuals vulnerable to fatigue during the prolonged pandemic.

Relations among perceived stress, fatigue, and sleepiness, and their effects on the ambulatory arterial stiffness index in medical staff: A cross-sectional study

Objective

To explore the relations among perceived stress, fatigue, sleepiness, and the pathway of their effects on the ambulatory arterial stiffness index (AASI) among medical staff.

Methods

This cross-sectional study was conducted at a tertiary hospital in Wuhan, China. Perceived stress, fatigue, and sleepiness were measured using the perceived stress scale (PSS), Fatigue assessment scale (FAS), and Epworth Sleepiness Scale (ESS), respectively. AASI was obtained from 24-h ambulatory blood pressure monitoring. Path analysis was used to clarify the relations among the PSS, FAS, and ESS scores, and their relations to AASI values.

Results

A total of 153 participants were included herein. The PSS and FAS correlated with the ESS (r = 0.424, p < 0.001), and the PSS correlated with the FAS (r = 0.614, p < 0.001). In addition, the ESS correlated with the AASI (r = 0.225, p = 0.005). According to the path analysis results, the PSS and FAS had no direct effect on the AASI, but did have an indirect effect on this index (β = 0.059, 95% confidence interval [CI] = 0.017-0.128, p = 0.005; β = 0.059, 95%CI = 0.016-0.135, p = 0.006, respectively) by influencing the ESS (β = 0.263, β = 0.262, p = 0.004).

Conclusion

Sleepiness was a mediator of the effects of perceived stress and fatigue on AASI.

Psychometric Properties of the Spanish Version of the Fatigue Assessment Scale in Caregivers of Palliative Care Patients

Symptoms of fatigue and lack of energy are very common in caregivers of palliative care (PC) patients, traditionally associated with variables such as burden or depression. There are no Spanish-language instruments validated for assessing fatigue levels in this population. The Fatigue Assessment Scale (FAS) is a useful and simple instrument for assessing fatigue in this group. The aim of this study was to examine its psychometric properties (factor structure, reliability and validity) in a sample of caregivers of PC patients. Instrumental design for instrument validation was performed. One hundred and eight caregivers of PC patients participated and completed measures of fatigue, family functioning, life satisfaction, caregiver burden, anxiety, depression, resilience and quality of life. A confirmatory factor analysis was performed; non-linear reliability coefficient and Pearson correlations and t-tests were conducted to assess evidence of reliability and validity. The Spanish version of the FAS was found to have a one-dimensional structure. Reliability was 0.88. Validity evidence showed that FAS scores were positively associated with levels of burden, anxiety and depression. They were negatively associated with family functioning, life satisfaction, resilience and quality of life. The Spanish version of the FAS in caregivers of PC patients shows adequate psychometric properties.

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

BACKGROUND

The prevalence of fatigue and sleep disturbances is high in stroke populations. Sleep quality can be targeted by interventions to alleviate fatigue following a stroke. This study aimed to determine the prevalence of fatigue and poor sleep quality, and to quantify the contribution of sleep quality to fatigue following a stroke, in chronic (≥1 year) stroke survivors.

METHODS

A cross-sectional design was adopted. A total of 112 stroke survivors (mean age ± standard deviation [year], 64.18 ± 5.77) at 6.08 ± 4.80 years post-stroke completed this study. All participants were assessed using the Fatigue Assessment Scale, the Pittsburgh Sleep Quality Index, the Visual Analogue Scale-Pain, the Fugl-Meyer Assessment of the upper and lower extremities, the 5-Time Sit-To-Stand Test, the Epworth Sleepiness Scale, the Frenchay Activities Index, the Life-Space Assessment, the Community Integration Measure, and the Multidimensional Scale of Perceived Social Support. Pearson and partial correlation coefficients were used to examine the correlation between fatigue and other variables. A multiple linear regression (the forced entry method) was performed to quantify the independent contribution of sleep quality to prediction of fatigue.

RESULTS

Of the 112 participants, 52.7% reported experiencing fatigue and 64.3% reported poor sleep quality. Sleep quality could independently account for 5.9% of the variance in fatigue scores after a stroke.

CONCLUSIONS

There is a high prevalence of fatigue and poor sleep quality in Chinese stroke survivors. Sleep quality is an independent predictor of fatigue in those living in the community who have survived a stroke for a year or longer.