Levels and Rates of Physical Activity in Older Adults with Multiple Sclerosis

Klaren, Rachel E.; Sebastião, Émerson; Chiu, Chung-Yi; Kinnett-Hopkins, Dominique; McAuley, Edward; Motl, Robert W.

doi:10.14336/ad.2015.1025

Cited by 48 publications

(33 citation statements)

References 30 publications

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“…Those with mobility disability demonstrated a greater number of bouts in sedentary behavior lasting for more than 30 min compared with those without mobility disability (5.1 vs. 4.3 bouts, p = 0.02). Another study using the ActiGraph 7164 accelerometer indicated that older adults with MS spent considerably more time in sedentary behavior than middle-aged and young adults with MS (554.1 vs. 532.8 vs. 509.6 min/day, respectively; p < 0.01) [57]. These data are important for characterizing sedentary behavior in MS and for allowing comparisons with the general population.…”

Section: Research From 2013–2017: What Is New?mentioning

confidence: 99%

Motion sensors in multiple sclerosis: Narrative review and update of applications

Sasaki

Sandroff

Bamman

et al. 2017

Expert Review of Medical Devices

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Introduction: The use of motion sensors for measuring physical activity in multiple sclerosis (MS) has evolved with increasing research particularly during the past decade. Areas covered: This manuscript reviews the literature regarding the application of motion sensors for measuring physical activity in MS. We first describe ‘what is known’ about their use in MS by examining the evidence generated between 1997 and 2012, including the psychometric properties of motion sensors in MS and the development of MS-specific accelerometer cut-points. We then evaluate ‘what is new’ based on research conducted between 2013 and 2017. This includes newer research on psychometric properties of motion sensors in MS, development of new MS-specific accelerometer and step-rate cut-points, sedentary behavior assessment, and research on fitness trackers and multisensors in MS. The final part presents a picture of “what is next” for the applications of motion sensors in MS, especially pertaining new opportunities for testing and using fitness trackers in MS, and tracking disease and disability progression based on motion sensor output. Expert commentary: The use of motion sensors in MS has grown substantially over the years; however, a lot more can be done to explore the full potential and utility of these devices in MS.

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Section: Research From 2013–2017: What Is New?mentioning

confidence: 99%

Motion sensors in multiple sclerosis: Narrative review and update of applications

Sasaki

Sandroff

Bamman

et al. 2017

Expert Review of Medical Devices

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“…First, our sample comprised majorly of middle‐aged (40‐59 years) and older adults aged ≥60 years. Given the literature suggesting that middle‐aged and older adults with MS are less physically active than young adults affected by the disease, it is possible that our findings may have been influenced by age‐related factors in addition to MS‐disability. Future researchers may want to explore the differences in PA perspectives between young and older adults affected by moderate‐to‐severe MS‐related disability.…”

Section: Discussionmentioning

confidence: 99%

Understanding leisure‐time physical activity: Voices of people with MS who have moderate‐to‐severe disability and their family caregivers

Fakolade

Lamarre

Latimer-Cheung

et al. 2017

Health Expectations

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BackgroundPhysical activity (PA) is beneficial for all people, yet people affected by multiple sclerosis (MS) find regular PA challenging. These people may include individuals with the disease who have moderate‐to‐severe disability and their family caregivers. For researchers and clinicians to effectively promote PA among caregiver/care‐recipient dyads with moderate‐to‐severe MS, a comprehensive understanding of the shared PA experiences of these dyads would be beneficial.ObjectiveWe explored shared experiences of caregiver/care‐recipient dyads affected by moderate‐to‐severe MS about PA and directions for intervention.MethodsSix focus groups with 23 people with moderate‐to‐severe MS and 12 family caregivers were conducted. Data were analysed using a constant comparative approach.ResultsThree major themes emerged as follows: (i) PA is a continuum, (ii) cycle of disengagement and (iii) cycle of adjustment. The first theme captured the dyads understanding that PA falls along a continuum ranging from highly structured to unstructured activities. Cycle of disengagement captured the experiences of dyads engaging in little or no PA. These dyads perceived internal and external issues as drivers of the cycle of disengagement, while availability of supportive programmes and services or people helped the dyads to break out of the cycle. When the cycle of disengagement was broken, the dyads described moving towards the cycle of adjustment, where they were able to learn skills and take action to incorporate PA into daily routines.ConclusionThis research highlights the need to adopt an integrative approach that acknowledges the caregiver/care‐recipient dyad with moderate‐to‐severe MS as a focus for PA intervention.

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“…and is rated on a 5-point Likert scale from 0 (Not at all confident) to 4 (Very confident). The items provide two sub-scores "Goal setting" (item 2, 3,4,5,6,7,8,13,14) and "Symptom management" (item 1,9,10,11,12,15). According to the authors [37], the scale is characterized by good item functioning, measurement invariance, and good concurrent validity (positive correlations with positive affect, sense of coherence and coping strategies and negative correlations with depression and negative affect).…”

Section: Methodsmentioning

confidence: 99%

“…However, people with MS do less PA compared to non-diseased people [7][8][9], but in similar way as other people suffering from a chronic disease [7]. Thus, according to different studies, people with MS are not getting the minimal amount of daily activity that even sedentary adults without neurologic injury or disease are able to achieve [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

The Relationships between Physical Activity, Self-Efficacy, and Quality of Life in People with Multiple Sclerosis

Guicciardi

Carta

Cocco

2019

Behavioral Sciences

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Regular physical activity (PA) can enhance the physical and mental health of people with Multiple Sclerosis (MS) because of its impact on muscular strength, mobility, balance, walking, fatigue, pain and health-related quality of life (HRQoL). Previous studies have hypothesized that the relationship between PA and HRQoL is mediated by self-efficacy. The aim of this research is to evaluate whether self-efficacy in goal setting and self-efficacy in the management of symptoms, mediate the relationship between PA and HRQoL, in a similar way to exercise self-efficacy. A sample of 28 participants with MS (18 females) and different levels of physical activity have been recruited and completed the following measures: (a) physical activity (GLTEQ); (b) health-related quality of life (SF-12); (c) self-efficacy in the management of Multiple Sclerosis (SEMS) and, (d) exercise self-efficacy (EXSE). The statistical analysis highlighted that self-efficacy in goal setting mediated the relationship between PA and mental health better than exercise self-efficacy. Our findings suggest that self-efficacy in goal setting can contribute to the adoption and maintenance of regular physical activity for long-lasting times, supporting and increasing the mental quality of life of people suffering from MS.Self-efficacy has been proven to be a key determinant related to adoption and maintenance of physical activity in people with chronic diseases, such as cancer, stroke, spinal cord injury, diabetes, and heart diseases [14][15][16][17][18][19][20].Exercise self-efficacy refers to the confidence people have in their ability to be physically active, such as, for example, their beliefs about achieving 30-150 min of moderate to vigorous physical activity per week [21,22].This aspect was repeatedly investigated in people with MS by Motl et al. [23][24][25][26][27][28][29], who found (a) a positive relationship between exercise self-efficacy and physical activity; (b) a moderate inverse relationship between MS symptoms and exercise self-efficacy.The management of MS-related symptoms (e.g., muscle spasms, balance disorders, thermoregulatory difficulties and muscle weakness) has been also invoked to predict both directly, and indirectly through self-efficacy, the adoption and maintenance of PA in individuals with MS [30].The relevance of symptom's management in people with MS was also stressed by Bonino et al. [31], who developed a new scale to measure self-efficacy in dealing with physical and psychological problems caused by MS. The management of symptoms (e.g., fatigue or negative emotions) allows the patients to experiment a satisfactory quality of life, which is often reduced in people with MS, even when compared with people suffering from other debilitating conditions [32][33][34].The goal setting, coupled with self-efficacy, has assumed a pivotal role in intervention studies aiming to enhance physical activity and to improve HRQoL in persons with MS [35]. In order to receive beneficial effects on physical and mental health, physical activity m...

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Levels and Rates of Physical Activity in Older Adults with Multiple Sclerosis

Cited by 48 publications

References 30 publications

Motion sensors in multiple sclerosis: Narrative review and update of applications

Motion sensors in multiple sclerosis: Narrative review and update of applications

Understanding leisure‐time physical activity: Voices of people with MS who have moderate‐to‐severe disability and their family caregivers

The Relationships between Physical Activity, Self-Efficacy, and Quality of Life in People with Multiple Sclerosis

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