Daily Temporal Associations Between Physical Activity and Symptoms in Multiple Sclerosis

Overview

Journal Ann Behav Med

Publisher Oxford University Press

Specialty Social Sciences

Date 2018 Apr 27

PMID 29697757

Citations 18

Authors

Anna L Kratz

Nora E Fritz

Tiffany J Braley

Eric L Scott

Emily Foxen-Craft

Susan L Murphy

Affiliations

Soon will be listed here.

Abstract

Background: Symptom severity is negatively associated with physical activity in multiple sclerosis (MS). However, it is unclear how physical activity and symptoms correlate on a day-to-day basis in persons with MS.

Purpose: To determine the temporal within-person associations of pain, fatigue, depressed mood, and perceived cognitive function with physical activity in MS.

Methods: Ambulatory adults with MS (N = 107) completed 7 days of home monitoring. Continuous physical activity data (assessed via wrist-worn accelerometer) and concurrent ecological momentary assessment (5X/day) of pain, fatigue, depressed mood, and perceived cognitive function were collected. Data were analyzed using multilevel mixed modeling.

Results: Fatigue and depressed mood demonstrated bidirectional associations with physical activity, whereas pain and cognitive function did not. Higher than usual fatigue (B = -5.83, p = .001) and depressed mood (B = -4.12, p = .03) were followed by decreased physical activity. In contrast, higher than usual physical activity was associated with subsequent decline in fatigue (B = -0.001, p = .02) and depressed mood (B = -0.0007, p = .02); however, the association between physical activity and fatigue varied across the day.

Conclusions: Physical activity is dynamically related to fatigue and mood on a moment-to-moment basis in MS. Efforts to increase physical activity in MS must incorporate a focus on how symptoms affect and are affected by activity.

Citing Articles

Characterizing Fatigue by Multiple Sclerosis Subtype and Determining Validity of a Fatigue Scale Specific to Persons With Progressive Multiple Sclerosis.

Feldpausch J, Plummer P, Abou-Rass Z, Fritz N Int J MS Care. 2024; 26(Q4):281-289.

PMID: 39403368 PMC: 11471975. DOI: 10.7224/1537-2073.2023-107.

Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study.

Kratz A, Ehde D, Alschuler K, Pickup K, Ginell K, Fritz N JMIR Res Protoc. 2024; 13:e59876.

PMID: 39325510 PMC: 11467611. DOI: 10.2196/59876.

A new framework for understanding stress and disease: the developmental model of stress as applied to multiple sclerosis.

Fauver M, Clark E, Schwartz C Front Integr Neurosci. 2024; 18:1365672.

PMID: 38957213 PMC: 11218666. DOI: 10.3389/fnint.2024.1365672.

Information from ecological momentary assessments lead to over-medicalization: Yes.

Hogestol E, Berg-Hansen P Mult Scler. 2024; 30(8):968-969.

PMID: 38751213 PMC: 11290013. DOI: 10.1177/13524585241253077.

Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities.

Willingham T, Stowell J, Collier G, Backus D Int J Environ Res Public Health. 2024; 21(1).

PMID: 38248542 PMC: 10815484. DOI: 10.3390/ijerph21010079.

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