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. 2016 Aug;36(8):1127-33.
doi: 10.1007/s00296-016-3508-1. Epub 2016 Jun 4.

Prevalence and predictors of unsupervised walking and physical activity in a community population of women with fibromyalgia

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Prevalence and predictors of unsupervised walking and physical activity in a community population of women with fibromyalgia

Sofía López-Roig et al. Rheumatol Int. 2016 Aug.

Abstract

Physical exercise is recognized as a component of the evidence-based guidelines for treatment of fibromyalgia. Walking is a low-moderate intensity exercise easily adaptable to a fibromyalgia patient's situation. The present study aims to estimate the prevalence of unsupervised walking for exercise in women with fibromyalgia, to describe their level of physical activity and to identify their predictors among socio-demographic, symptom perception and medical advice to walk. A cross-sectional survey with 920 women (all members of fibromyalgia associations) completed the International Physical Activity Questionnaire-Short Form and self-reported scales to assess symptom perception, walking, medical advice to walk and physical comorbidity. The prevalence of reported walking regularly as physical exercise was 30.8 % and it was predicted by medical advice (odds ratio, OR 1.876), age (OR 1.021) and fatigue intensity (OR 0.912). The prevalence of physical activity was 16 % for high-intensity activity, 40 % for moderate activity and 44 % for low activity. Predictors of low versus moderate and high physical activity were pain intensity (OR 1.171) and fatigue impact perception (OR 1.076). Evidence shows a low percentage of women with fibromyalgia walking regularly for physical exercise. Most reported low or moderate physical activity. The results indicate the importance of doctors' advice in promoting walking. Symptom perception and socio-demographic characteristics were weak predictors. Further work is required to examine other determinants of these low levels.

Keywords: Cross-sectional survey; Fibromyalgia; Medical advice; Physical activity; Predictive analyses; Unsupervised walking.

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