Multiple Dimensions Of Fatigue Research Articles

A multidimensional analysis of the longitudinal effects of roux en y gastric bypass on fatigue: An association with visceral obesity

Background and objectivesSevere obesity is associated with fatigue, however, the effects of weight loss after bariatric surgery on particular dimensions of fatigue are unknown. In a secondary analysis of a prospective cohort study of women undergoing roux-en-y gastric bypass (RYGB) we explored relationships among multiple dimensions of fatigue and improving adiposity, insulin resistance and inflammation. MethodsBefore, and 1 and 6 months after RYBG, dimensions of fatigue were assessed using the validated, self-report, Multidimensional Fatigue Inventory. Total, abdominal visceral (VAT) and subcutaneous (SAT) adiposity, insulin sensitivity (Si and HOMA) and plasma concentrations of leptin, C-reactive protein (CRP) and interleukin-6 (Il-6) were measured using air displacement plethysmography, computed tomography, glucose tolerance testing and enzyme-linked immunoassay. Associations were assessed using Spearman correlations and linear regression. ResultsAt baseline, the majority of our female participants (N = 19, body mass index, 46.5 kg/m2, age 37.2 years) were experiencing elevated levels of fatigue. By 6 months, dimensions of physical (−43%), reduced activity (−43%), reduced motivation (−38%), general (−31%; all p < .005), and mental (−18%, p < .05) fatigue improved, concomitant with decreases in markers of adiposity, inflammation and insulin resistance. The decrease in VAT was associated with improvement in mental fatigue (beta, 0.447 ± 0.203, p = .045), independent of other indices of adiposity, IL-6 concentrations, or Si. ConclusionsIn the 6 months after RYGB, fatigue improved, especially physical fatigue. Decreases in mental fatigue were strongly associated with decreases in visceral adiposity. Nevertheless, the biologic mechanisms underlying changes in these specific fatigue dimensions remain undetermined.

Independent and joint associations of physical activity and fitness with fibromyalgia symptoms and severity: The al-Ándalus project

ABSTRACTWe examined independent and joint associations of objectively measured physical activity (PA) and physical fitness (PF) with pain, fatigue and the overall impact of fibromyalgia in 386 fibromyalgia women aged 51.2 ± 7.6 years. Levels of PA (light, moderate and vigorous) and PF were measured with triaxial accelerometry and the Senior Fitness Test, respectively. We used the Short-Form health survey-36 pain sub-scale and the Multidimensional Fatigue Inventory to assess pain and multiple dimensions of fatigue, respectively. The impact of fibromyalgia was studied with the Revised Fibromyalgia Impact Questionnaire (FIQR). Both, total PA and global PF were independently associated with pain pressure threshold, SF-36 pain, reduced activity, reduced motivation and FIQR total score (all, P ≤ 0.027). The associations between total PA and symptoms were weaker than those observed between global PF and symptoms. Overall, unfit patients with low PA showed a worse profile that fit patients with high PA (all, P ≤ 0.001). In summary, PA and PF are independently associated with pain, fatigue and the overall impact of fibromyalgia in women. Although PF presented greater associations with symptoms, the results suggest that both being physically active and keep adequate fitness levels might be convenient for fibromyalgia women.

Resistance exercise improves physical fatigue in women with fibromyalgia: a randomized controlled trial.

BackgroundFibromyalgia (FM) affects approximately 1–3 % of the general population. Fatigue limits the work ability and social life of patients with FM. A few studies of physical exercise have included measures of fatigue in FM, indicating that exercise can decrease fatigue levels. There is limited knowledge about the effects of resistance exercise on multiple dimensions of fatigue in FM. The present study is a sub-study of a multicenter randomized controlled trial in women with FM. The purpose of the present sub-study was to examine the effects of a person-centered progressive resistance exercise program on multiple dimensions of fatigue in women with FM, and to investigate predictors of the potential change in fatigue.MethodsA total of 130 women with FM (age 22–64 years) were included in this assessor-blinded randomized controlled multicenter trial examining the effects of person-centered progressive resistance exercise compared with an active control group. The intervention was performed twice a week for 15 weeks. Outcomes were five dimensions of fatigue measured with the Multidimensional Fatigue Inventory (MFI-20). Information about background was collected and the women also completed several health-related questionnaires. Multiple linear stepwise regression was used to analyze predictors of change in fatigue in the total population.ResultsA higher improvement was found at the post-treatment examination for change in the resistance exercise group, as compared to change in the active control group in the MFI-20 subscale of physical fatigue (resistance group Δ –1.7, SD 4.3, controls Δ 0.0, SD 2.7, p = 0.013), with an effect size of 0.33. Sleep efficiency was the strongest predictor of change in the MFI-20 subscale general fatigue (beta = −0.54, p = 0.031, R2 = 0.05). Participating in resistance exercise (beta = 1.90, p = 0.010) and working fewer hours per week (beta = 0.84, p = 0.005) were independent significant predictors of change in physical fatigue (R2 = 0.14).ConclusionsPerson-centered progressive resistance exercise improved physical fatigue in women with FM when compared to an active control group.Trial registrationClinicalTrials.gov NCT01226784. Registered 21 October 2010.

Mining the relationships between psychosocial factors and fatigue dimensions among registered nurses

Recent challenges related to patient safety, and medical errors in healthcare have led to a focus on increasing quality across healthcare organizations. Psychosocial factors and fatigue have been identified as significant factors related to nurses' performance. However, previous studies have not clearly established the multi-factorial relationships between psychosocial factors and multiple dimensions of fatigue in nurses. Hence, the purpose of this study was to identify relationships between multiple psychosocial factors and dimensions of fatigue using data mining classification methods. Survey data from registered nurse perceptions of psychosocial factors, mental, physical and total fatigue levels were analyzed using a tree-based Chi-Square Automatic Interaction Detection. The results demonstrate that psychological job demand and skill discretion have a strong association with all dimensions of fatigue. Changes in mental and total fatigue levels are also significantly associated with the level of decision authority. Finally, coworker social support is associated with changes in physical fatigue, and supervisor social support is associated with differences in total fatigue levels. In conclusion, there are varying relationships between psychosocial factors from a demand–control–support model and mental, physical, and total dimensions of fatigue in registered nurses. Through increased understanding of these associations, healthcare organizations, nursing managers, and policy makers can better design interventions to mitigate fatigue. Relevance to industryDue to challenges related to quality, cost, and shortages of qualified personnel, healthcare organizations must understand human factors, such as fatigue, that can impact nurse performance, safety, and satisfaction. This study identifies multi-factorial relationships between fatigue dimensions and psychosocial factors in registered nurses. The results may help nursing leaders in designing comprehensive interventions that account for psychosocial aspects of the work environment to reduce nurse fatigue.

The moderating role of personal mastery on the relationship between caregiving status and multiple dimensions of fatigue

A substantial proportion of chronically-stressed spousal dementia caregivers report fatigue. The objective of this study was to examine whether personal mastery moderates the relationship between caregiving status (caregiver/non-caregiver) and multiple dimensions of fatigue. Seventy-three elderly Alzheimer's caregivers and 41 elderly non-caregivers completed the Multidimensional Fatigue Symptom Inventory-Short Form (MFSI-SF) and questionnaires assessing mastery. Regression analyses indicated that global fatigue was significantly higher for caregivers (M = 38.0 +/- 21.0) compared to non-caregivers (M = 18.2 +/- 10.4). However, personal mastery moderated the relation between caregiving status and global fatigue (t = -2.03, df = 107, p = 0.045), such that for those with low mastery, caregivers' fatigue scores were 18.1 points higher than non-caregivers, and for those with high mastery, this difference was only 7.5 points. For specific dimensions of fatigue, mastery moderated the relations between caregiving status and both emotional (t = -2.01, df = 107, p = 0.047) and physical (t = -2.51, df = 107, p = 0.014) fatigue. Specifically, association between caregiving status and emotional fatigue was greater when mastery was low than when mastery was high. Caregiving status was significantly associated with physical fatigue when mastery was low, but not when mastery was high. Significant main effects were found between mastery and general fatigue and vigor. Given the proportion of fatigued caregivers and the impact fatigue has on health; these findings provide important information regarding mastery's relationship with fatigue and may inform interventions aiming to alleviate fatigue in caregivers.

Fatigue, Pain, and Depression in Pre‐Autotransplant Breast Cancer Patients

The purpose of this study was to determine the influence of fatigue, pain, and depression on health status in breast cancer patients who had completed adjuvant chemotherapy and were scheduled for autologous bone marrow/peripheral blood stem cell transplant (AT). A predictive, correlational design was used. A convenience sample of 127 women with stages II, III, and IV breast cancer was recruited. The setting was an urban National Cancer Institute-designated comprehensive cancer center located in the Eastern United States. Standardized questionnaires and the Gaston-Johansson Painometer (POM) were used to measure the variables. The subjects completed questionnaires in the outpatient clinic. Relationships between the multiple dimensions of fatigue and pain, depression, and health status were examined. Hierarchical regression techniques were used to determine the variance in health status accounted for by fatigue, pain, and depression. The subjects were age 22 to 60 years (Mean = 45; SD = 7.6), and primarily were married, white, Protestant, college educated, employed in a professional position, and had an average yearly household income of equal to or greater than $50,000. All subjects had previously received surgery and chemotherapy. Ninety-one percent of the participants reported fatigue as measured by the Fatigue Visual Analogue Scale. Forty-seven percent of the participants reported pain as measured by the Gaston-Johansson POM visual analogue scale. Fifty-four percent of the participants reported depression, ranging from mild to severe/high. Subjects reported a mean total perceived health status rating of 50.73 (SD 10.79). Fatigue, pain, and depression were all significantly correlated to each other and to total health status. Depression (P < .001) and pain (P < .01) significantly accounted for 64% (adjusted R2 = .60) of the variance in total health status. Fatigue (P < .05) and depression (P < .001) accounted for 42% (adjusted R2 = .36) of the variance in the perception of health status. Women with breast cancer previously treated with chemotherapy and awaiting AT may experience fatigue, pain, depression, and alterations in health status. Pain and depression had a significant impact on a woman's total health status, whereas depression and fatigue had an influence on perceived health status. Of the different dimensions of health status, one's perceptions of health status had the strongest correlation to total health status (r = .84, P < .001). Healthcare professionals need to be aware of the effects of multiple symptoms on health status and to provide appropriate care to alleviate them.