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Subjective and objective assessment of physical activity in multiple sclerosis and their relation to health-related quality of life

Overview of attention for article published in BMC Neurology, January 2017
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Title
Subjective and objective assessment of physical activity in multiple sclerosis and their relation to health-related quality of life
Published in
BMC Neurology, January 2017
DOI 10.1186/s12883-016-0783-0
Pubmed ID
Authors

Theresa Krüger, Janina R. Behrens, Anuschka Grobelny, Karen Otte, Sebastian Mansow-Model, Bastian Kayser, Judith Bellmann-Strobl, Alexander U. Brandt, Friedemann Paul, Tanja Schmitz-Hübsch

Abstract

Physical activity (PA) is frequently restricted in people with multiple sclerosis (PwMS) and aiming to enhance PA is considered beneficial in this population. We here aimed to explore two standard methods (subjective plus objective) to assess PA reduction in PwMS and to describe the relation of PA to health-related quality of life (hrQoL). PA was objectively measured over a 7-day period in 26 PwMS (EDSS 1.5-6.0) and 30 matched healthy controls (HC) using SenseWear mini® armband (SWAmini) and reported as step count, mean total and activity related energy expenditure (EE) as well as time spent in PA of different intensities. Measures of EE were also derived from self-assessment with IPAQ (International Physical Activity Questionnaire) long version, which additionally yielded information on the context of PA and a classification into subjects' PA levels. To explore the convergence between both types of assessment, IPAQ categories (low, moderate, high) were related to selected PA parameters from objective assessment using ANOVA. Group differences and associated effect sizes for all PA parameters as well as their relation to clinical and hrQoL measures were determined. Both, SWAmini and IPAQ assessment, captured differences in PA between PwMS and HC. IPAQ categories fit well with common cut-offs for step count (p = 0.002) and mean METs (p = 0.004) to determine PA levels with objective devices. Correlations between specifically matched pairs of IPAQ and SWAmini parameters ranged between r .288 and r .507. Concerning hrQoL, the lower limb mobility subscore was related to four PA measures, while a relation with patients' report of general contentment was only seen for one. Both methods of assessment seem applicable in PwMS and able to describe reductions in daily PA at group level. Whether they can be used to track individual effects of interventions to enhance PA levels needs further exploration. The relation of PA measures with hrQoL seen with lower limb mobility suggests lower limb function not only as a major target for intervention to increase PA but also as a possible surrogate for PA changes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 17%
Student > Master 18 15%
Student > Bachelor 13 11%
Student > Doctoral Student 8 7%
Other 6 5%
Other 12 10%
Unknown 41 35%
Readers by discipline Count As %
Medicine and Dentistry 22 19%
Nursing and Health Professions 13 11%
Computer Science 6 5%
Sports and Recreations 6 5%
Agricultural and Biological Sciences 4 3%
Other 19 16%
Unknown 48 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 January 2017.
All research outputs
#20,390,619
of 22,940,083 outputs
Outputs from BMC Neurology
#2,157
of 2,454 outputs
Outputs of similar age
#356,820
of 421,731 outputs
Outputs of similar age from BMC Neurology
#32
of 37 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.