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Purpose: To find modifiable factors that are related to subjective well-being would be valuable for improving interventions in fibromyalgia. Physical activity, sedentary behaviour, and physical fitness may represent potential areas to optimize treatment regimens. In fibromyalgia, there is a discordance between clinical observations and patient-reported outcomes (objective and subjective assessments). Therefore, the present study aims at analyzing the associations of objective and subjective evaluations of physical activity, sedentary behaviour, and physical fitness with subjective well-being and determine if and how objective and subjective associations differ.

Methods: In this population-based cross-sectional study participated 375 women with fibromyalgia from the al-Ándalus project (Spain). Physical activity, sedentary behaviour, and physical fitness were objectively (accelerometers and performance testing) and subjectively (questionnaires) measured. Participants self-reported their levels of positive affect, negative affect, and life satisfaction.

Results: In the most conservative multivariate analysis, we found independent associations of the objective measures of physical activity with positive affect and life satisfaction and sedentary behaviour with positive affect. No such relationship was seen with subjective measures of the same behaviours. Moreover, we observed that objective and subjective physical fitness evaluations were independent of each other related to subjective well-being.

Conclusions: Independent associations of the objective measures (but not the subjective assessments) of physical activity with positive affect and life satisfaction, and of sedentary behaviour with positive affect were observed. However, objective measures and subjective appraisals of physical fitness appear to be independently related to well-being, which should be considered when developing physical exercise interventions for fibromyalgia.

Aim: To conduct a detailed investigation into changes in activity limitations and participation restrictions over 10 years in people with mild, moderate and severe multiple sclerosis.

Methods: This study was a 10-year longitudinal study of 264 people with multiple sclerosis living in Stockholm County, Sweden. Ten-year changes in personal and instrumental activities in daily living were assessed using the Katz Activities in Daily Living Index Extended and participation in social/lifestyle activities using the Frenchay Activities Index.

Results: While people with moderate multiple sclerosis, compared to baseline, demonstrated significantly higher proportions of dependency in most activities of personal and instrumental activities in daily living at the 10-year follow-up, the mild group primarily increased their dependency in instrumental activities and the severe group in personal activities. Significantly higher proportions of the moderate group showed restricted participation in domestic and outdoor activities whereas the mild group only showed restrictions in a few domains of participation. A majority of people with severe multiple sclerosis showed restricted participation in all social/lifestyle activities at baseline and the 10-year follow-up.

Conclusions: Prominent long-term increases in activity limitations and participation restrictions occurred across the spectrum of disease severity but was most pronounced in those more moderately affected.

Purpose: 

To develop a predictive model to inform the probability of lower limb prosthesis users’ functional potential for ambulation.

Materials and Methods: 

A retrospective analysis of a database of outcomes for 2770 lower limb prosthesis users was used to inform a classification and regression tree analysis. Gender, age, height, weight, body mass index adjusted for amputation, amputation level, cause of amputation, comorbid health status and functional mobility score [Prosthetic Limb Users Survey of Mobility (PLUS-M™)] were entered as potential predictive variables. Patient K-Level was used to assign dependent variable status as unlimited community ambulator (i.e., K3 or K4) or limited community/household ambulator (i.e., K1 or K2). The classification tree was initially trained from 20% of the sample and subsequently tested with the remaining sample.

Results: 

A classification tree was successfully developed, able to accurately classify 87.4% of individuals within the model’s training group (standard error 1.4%), and 81.6% within the model’s testing group (standard error 0.82%). Age, PLUS-M™ T-score, cause of amputation and body weight were retained within the tree logic.

Conclusions: 

The resultant classification tree has the ability to provide members of the clinical care team with predictive probabilities of a patient’s functional potential to help assist care decisions.