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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. [ABSTRACT FROM AUTHOR]

Background Physical fitness is a marker of health and is associated with health-related quality of life (HRQoL). Identifying which components of physical fitness are associated with HRQoL in people with fibromyalgia may contribute to the development of more specific therapeutic strategies. Objective The 2 aims of this study were to examine the association of different components of physical fitness (ie, flexibility, muscle strength, speed and agility, and cardiorespiratory fitness) with HRQoL and to determine the extent to which any association between the components of physical fitness and HRQoL were of clinical relevance to women with fibromyalgia. Design A cross-sectional design was used. Methods This study included 466 women with fibromyalgia from southern Spain (Andalusia). The Senior Fitness Test battery and the handgrip test were used to assess physical fitness, and the 36-Item Short-Form Health Survey (SF-36) was used to assess HRQoL. Tender points, cognitive impairment, anthropometric measurements, and medication usage were also measured. First, multivariate linear regression was used to assess the individual relationship of each physical fitness test with the 8 dimensions of the SF-36. Second, a standardized composite score was computed for each component of physical fitness (flexibility, muscle strength, speed and agility, and cardiorespiratory fitness). A 1-way analysis of covariance to assess the differences in each of the 8 dimensions of the SF-36 across each physical fitness composite score was conducted. Forward stepwise regression was performed to analyze which components of physical fitness were independently associated with the SF-36 physical and mental component scales. Results Overall, higher levels of physical fitness were associated with higher levels of HRQoL (regardless of the SF-36 subscale evaluated). The effect sizes for HRQoL between participants with the lowest and the highest physical fitness levels ranged from moderate to large (Cohen d  = 0.53–0.90). The muscle strength composite score was independently associated with the SF-36 physical component scale, whereas the flexibility composite score and cardiorespiratory fitness were independently associated with the SF-36 mental component scale. Limitations A limitation was that the cross-sectional design precluded the establishment of causality. Additionally, only women were included in the study, because fibromyalgia predominantly affects women. Conclusions High levels of physical fitness were consistently associated with better HRQoL in women with fibromyalgia; clinically relevant differences were demonstrated between those at extreme physical fitness levels. Muscle strength, flexibility, and cardiorespiratory fitness were independent indicators of HRQoL. These results warrant further prospective research on the potential of fitness to predict HRQoL in this population. [ABSTRACT FROM AUTHOR]

Objectives. The aim of this study was to identify subgroups in terms of adaptation to FM and to test differences in FM severity between these subgroups. Methods. The al-A´ ndalus project made it possible to perform a comprehensive population-based crosssectional study in 486 FM patients including multiple assessments of modifiable (could be targeted in therapy) resilience and vulnerability factors, measured by objective and subjective assessments, related to psychological and physical function. FM severity was assessed by means of FM impact (total score of the Revised Fibromyalgia Impact Questionnaire) and distress (Polysymptomatic Distress Scale of the modified 2011 preliminary criteria for FM). Exploratory factor analysis, cluster analysis and analysis of variance were conducted. Results. Factor analysis yielded eight factors: three included objective measures (declarative memory, active lifestyle and objective physical fitness) and five included subjective measures (fatigue, psychological distress, catastrophizing, resilience and subjective physical fitness). Cluster analysis based on these eight factors identified five profiles: Adapted (16%), Fit (18%), Poor performer (20%), Positive (20%) and Maladapted (26%). Most profile comparisons revealed different levels of FM severity varying from Adapted (the most favourable profile) to Maladapted (the most unfavourable profile) with Fit, Poor performer and Positive obtaining intermediate positions. Conclusions. Heterogeneity of FM was shown by five clinically meaningful profiles of modifiable factors that were associated with FM severity. It is of clinical interest to examine whether these profiles are associated with FM prognosis and the effectiveness of interventions, which would enhance the development of customized interventions based on adaptation profiles in FM. [ABSTRACT FROM AUTHOR]