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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., (© 2019 American Physical Therapy Association.)

The aim of the present study was to determinate whether fitness cut-off points discriminate the severity of major fibromyalgia symptoms and health-related quality of life. Additionally, we investigated which American Colleague of Rheumatology (ACR) fibromyalgia criteria (1990 vs. modified 2010) better discriminate fibromyalgia symptomatology. A total of 488 women with fibromyalgia and 200 non-fibromyalgia (control) women participated. All participants underwent both the 1990 and the modified 2010 ACR preliminary criteria (hereinafter 1990c and m-2010c, respectively). We used fitness cut-off points (Senior Fitness Tests Battery plus handgrip strength test) to discriminate between presence and absence of fibromyalgia. Additionally, we employed several instruments to assess fibromyalgia symptoms. Fitness cut-off points discriminated between high and low levels of the main symptoms the disease in all age groups (P from <0.001 to 0.01). Overall, the arm-curl and the 30-s chair stand tests presented the highest effect sizes in all symptoms, reinforcing the inclusion of fitness testing as a complementary tool for fibromyalgia diagnosis and monitoring. Moreover, the effect size of the differences in symptoms between women with fibromyalgia and controls were overall larger using the m-2010c compared with the 1990c, except for the tender points count, reflecting better the polysymptomatic distress condition of fibromyalgia., (© Georg Thieme Verlag KG Stuttgart · New York.)

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]

Background: During pregnancy, a sedentary lifestyle may have negative consequences on maternal and foetal health status. The main objective of this project is to assess the effects of an exercise intervention in overweight and grade I obese pregnant on maternal and foetal health markers. Methods/design: The present study aims to recruit 60 overweight and grade I obese women interested in participating in an exercise intervention program from the 17th gestational week until delivery. Women will be randomized to either an exercise (three 60-min sessions/week of combined aerobic and strength training and pelvic floor exercises), or usual care (control) group (30 women per group). The primary outcome measures are maternal weight gain, and maternal and neonatal glycaemic profile. Secondary outcome measures are: i) perinatal obstetric records; i) body composition; iii) dietary patterns; iv) physical fitness; v) low-back pain; vi) objectively measured physical activity and sedentary behaviour; vii) haematology and biochemical analyses; viii) oxidative stress; ix) pro- and anti-inflammatory markers; x) bone health biomarkers; xi) sleep quality; xii) mental health, quality of life and positive health. Discussion: The findings of this project will help to identify strategies for primary prevention and health promotion based on this exercise-based intervention program among overweight and grade I obese pregnant women. [ABSTRACT FROM AUTHOR]

Background: The high prevalence of women that do not reach the recommended level of physical activity is worrisome. A sedentary lifestyle has negative consequences on health status and increases health care costs. The main objective of this project is to assess the cost-effectiveness of a primary care-based exercise intervention in perimenopausal women. Methods/Design: The present study is a Randomized Controlled Trial. A total of 150 eligible women will be recruited and randomly assigned to either a 16-week exercise intervention (3 sessions/week), or to usual care (control) group. The primary outcome measure is the incremental cost-effectiveness ratio. The secondary outcome measures are: i) socio-demographic and clinical information; ii) body composition; iii) dietary patterns; iv) glycaemic and lipid profile; v) physical fitness; vi) physical activity and sedentary behaviour; vii) sleep quality; viii) quality of life, mental health and positive health; ix) menopause symptoms. All outcomes will be assessed at baseline and post intervention. The data will be analysed on an intention-to-treat basis and per protocol. In addition, we will conduct a cost effectiveness analysis from a health system perspective. Discussion: The intervention designed is feasible and if it proves to be clinically and cost effective, it can be easily transferred to other similar contexts. Consequently, the findings of this project might help the Health Systems to identify strategies for primary prevention and health promotion as well as to reduce health care requirements and costs. [ABSTRACT FROM AUTHOR]