scholarly journals Physical activity monitoring to assess disability progression in multiple sclerosis

2020 ◽  
Vol 6 (4) ◽  
pp. 205521732097518
Author(s):  
Charlotte M Stuart ◽  
Aravinthan Varatharaj ◽  
Janine Domjan ◽  
Sheaba Philip ◽  
Ian Galea ◽  
...  
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Brain Atrophy ◽  
Outcome Measurement ◽  
Activity Monitoring ◽  
Step Count ◽  
Brain Volume Loss ◽  
Metabolic Equivalents ◽  
Physical Activity Monitoring ◽  
Convergent And Divergent Validity

Background Clinical outcome measurement in multiple sclerosis (MS) usually requires a physical visit. Remote activity monitoring (RAM) using wearable technology provides a rational alternative, especially desirable when distance is involved or in a pandemic setting. Objective To validate RAM in progressive MS using (1) traditional psychometric methods (2) brain atrophy. Methods 56 people with progressive MS participated in a longitudinal study over 2.5 years. An arm-worn RAM device measured activity over six days, every six months, and incorporated triaxial accelerometry and transcutaneous physiological variable measurement. Five RAM variables were assessed: physical activity duration, step count, active energy expenditure, metabolic equivalents and a composite RAM score incorporating all four variables. Other assessments every six months included EDSS, MSFC, MSIS-29, Chalder Fatigue Scale and Beck’s Depression Inventory. Annualized brain atrophy was measured using SIENA. Results RAM was tolerated well by people with MS; the device was worn 99.4% of the time. RAM had good convergent and divergent validity and was responsive, especially with respect to step count. Measurement of physical activity over one day was as responsive as six days. The composite RAM score positively correlated with brain volume loss. Conclusion Remote activity monitoring is a valid and acceptable outcome measure in MS.

scholarly journals Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study)

2014 ◽  
Vol 13 (1) ◽  
pp. 10 ◽  
Author(s):  
Layal Shammas ◽  
Tom Zentek ◽  
Birte von Haaren ◽  
Stefan Schlesinger ◽  
Stefan Hey ◽  
...  
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Pilot Study ◽  
Activity Monitoring ◽  
Physical Activity Monitoring ◽  
Home Based

Multiple sclerosis and HLA genotypes: A possible influence on brain atrophy

2017 ◽  
Vol 25 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Lorena Lorefice ◽  
Giuseppe Fenu ◽  
Claudia Sardu ◽  
Jessica Frau ◽  
Giancarlo Coghe ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
High Risk ◽  
Brain Atrophy ◽  
Group Versus ◽  
Brain Magnetic Resonance Imaging ◽  
Human Leukocyte ◽  
Low Risk ◽  
Brain Volume Loss ◽  
Hla Genotypes ◽  
Hla Genotype

Background: The strongest genetic determinant for multiple sclerosis (MS) is located at the human leukocyte antigen (HLA) class II DRB1 and DQB1 loci. Objectives: To investigate the possible role of predisposing HLA genotypes in determining brain atrophy. Methods: HLA genotypes were categorized as high risk (two predisposing haplotypes) or medium/low risk (one or no predisposing haplotypes). Patients underwent a brain magnetic resonance imaging (MRI) study and volumes of white matter (WM), gray matter (GM), and whole brain (WB) were estimated with SIENAX. Longitudinal atrophy was also assessed with SIENA. Results: The study included 240 MS patients. In 51/240 (21%) subjects, a high-risk HLA genotype was observed, while medium- and low-risk HLA genotypes were 109/240 (45%) and 80/240 (34%), respectively. Multiple regression analysis found that the high-risk HLA genotype was associated with significant reduction in WB ( p = 0.02) and GM ( p = 0.03) volumes compared with the medium-/low-risk HLA genotypes, independently from MS clinical features. The longitudinal study included 60 patients and showed a brain volume loss of −0.79% in high-risk HLA genotype group versus −0.56% in low-risk HLA genotype. Conclusion: Our results suggest an influence of HLA genotype on WB and GM atrophy. Further investigations are necessary to confirm these findings.

scholarly journals Association between Water and Energy Requirements with Physical Activity and Fat-Free Mass in Preschool Children in Japan

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 4169
Author(s):  
Yosuke Yamada ◽  
Hiroyuki Sagayama ◽  
Jun Yasukata ◽  
Akiko Uchizawa ◽  
Aya Itoi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Exercise Duration ◽  
Step Count ◽  
Fat Free Mass ◽  
Energy Requirements ◽  
Adequate Intake ◽  
Water Turnover ◽  
Metabolic Equivalents ◽  
Vigorous Intensity

Water and energy are essential for the human body. The doubly labeled water (DLW) method measures water turnover (WT) and total energy expenditure (TEE), which serves as a benchmark for the adequate intake (AI) of water and estimated energy requirements (EER). The objective of the current study was to examine the association of WT and TEE with physical activity and body composition in Japanese preschool children. We included 41 preschool children (22 girls, 19 boys) aged 3–6 in this study. WT, TEE, and fat-free mass (FFM) were obtained using DLW. Physical activity was measured using a triaxial accelerometer and categorized as light (LPA; 1.5–2.9 Metabolic equivalents, METs) and of moderate-to-vigorous intensity (MVPA; ≥3.0 METs). Exercise duration (Ex) was defined as ≥4.0 METs of physical activity. WT and TEE moderately positively correlated with Ex, but not with LPA. WT moderately positively correlated with BW and FFM while TEE strongly. We established predictive equations for WT and TEE using body weight (BW), FFM, step count, and Ex to guide the AI of water and EER in Japanese preschool children. We found that FFM and step count are the determinants of TEE, and that BW and Ex are the determinants of WT in preschool children.

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