scholarly journals Effect of a Tailored Activity Pacing Intervention on Fatigue and Physical Activity Behaviours in Adults with Multiple Sclerosis

2020 ◽  
Vol 18 (1) ◽  
pp. 17
Author(s):  
Ulric S. Abonie ◽  
Florentina J. Hettinga
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Mean Difference ◽  
Activity Level ◽  
Self Report ◽  
Control Group ◽  
Activity Levels ◽  
Average Activity ◽  
And Gender

Tailored activity pacing could help manage fatigue and improve physical activity. However, little is known about how to tailor activity pacing for people with multiple sclerosis. This study aims to evaluate the effect of a tailored activity pacing intervention on fatigue and physical activity behaviours in adults with multiple sclerosis. Twenty-one adults with multiple sclerosis, stratified by age and gender, are randomly allocated to either a tailored pacing or control group. Participants wear an accelerometer for seven days that measures physical activity behaviours, and self-report fatigue at the baseline and four-week follow-up. Physical activity behaviours are assessed by examining activity level (seven-day average activity counts per minute) and activity variability (seven-day average highest activity counts each day divided by activity counts on that day). The intervention improves activity levels (Mean difference = 40.91; 95% Confidence Interval [CI] (3.84–77.96); p = 0.03) and lessens activity variability (Mean difference = −0.63; 95% CI (−1.25–0.02); p = 0.04). No significant effect is found for fatigue (Mean difference = −0.36; 95% CI (−1.02–0.30); p = 0.27). This investigation shows that tailoring activity pacing based on physical activity behaviours and fatigue is effective in improving physical activity levels, without exacerbating fatigue symptoms.

scholarly journals The development and evaluation of a novel computer program to assess previous-day dietary and physical activity behaviours in school children: The Synchronised Nutrition and Activity ProgramTM (SNAPTM)

2008 ◽  
Vol 99 (6) ◽  
pp. 1266-1274 ◽  
Author(s):  
Helen J. Moore ◽  
Louisa J. Ells ◽  
Sally A. McLure ◽  
Sean Crooks ◽  
David Cumbor ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Dietary Intake ◽  
Vigorous Physical Activity ◽  
Population Level ◽  
Mean Difference ◽  
Self Report ◽  
Substantial Contribution ◽  
Activity Levels ◽  
Food Groups

Self-report recall questionnaires used to measure physical activity and dietary intake in children can be labour intensive and monotonous and tend to focus on either dietary intake or physical activity. The web-based software, Synchronised Nutrition and Activity ProgramTM (SNAPTM), was developed to produce a novel, simple, quick and engaging method of assessing energy balance-related behaviours at a population level, combining principles from new and existing 24 h recall methodologies, set within a user-friendly interface. Dietary intake was measured using counts for twenty-one food groups and physical activity levels were measured in min of moderate to vigorous physical activity (MVPA). A combination of the mean difference between methods, type II regression and non-parametric limits of agreement techniques were used to examine the accuracy and precision of SNAPTM. Method comparison analyses demonstrated a good agreement for both dietary intake and physical activity behaviours. For dietary variables, accuracy of SNAPTM (mean difference) was within ± 1 count for the majority of food groups. The proportion of the sample with between-method agreement within ± 1 count ranged from 0·40 to 0·99. For min of MVPA, there was no substantial fixed or proportional bias, and a mean difference between methods (SNAPTM – accelerometry) of − 9 min. SNAPTM provides a quick, accurate, low-burden, cost-effective and engaging method of assessing energy balance behaviours at a population level. Tools such as SNAPTM, which exploit the popularity, privacy and engagement of the computer interface, and linkages with other datasets, could make a substantial contribution to future public health monitoring and research.

Efficacy of an E-Mail Intervention for the Promotion of Physical Activity and Nutrition Behavior in the Workplace Context

2005 ◽  
Vol 19 (6) ◽  
pp. 422-429 ◽  
Author(s):  
Ronald C. Plotnikoff ◽  
Linda J. McCargar ◽  
Philip M. Wilson ◽  
Constantinos A. Loucaides
Keyword(s):  
Physical Activity ◽  
Mode Of Delivery ◽  
Intervention Group ◽  
Activity Level ◽  
Self Report ◽  
Control Group ◽  
Nutrition Behavior ◽  
Nutrition Messages ◽  
Mail Address ◽  
E Mail

Purpose. The purpose of this study was to evaluate a 12-week workplace e-mail intervention designed to promote physical activity and nutrition behavior. Design. A pre- and post-test design was conducted to compare the effects of e-mail messages between intervention and control groups. Setting. Five large workplaces in Alberta, Canada. Subjects. Employees with access to a personal e-mail address (N = 2121) were randomly assigned to an intervention (n = 1566) or a control group (n = 555). Intervention. Physical activity and nutrition messages were based on social-cognitive theories. The intervention group received one physical activity and one parallel nutrition message per week for 12 weeks. The control group received no weekly messages. Measures. Each participant completed self-report measures of physical activity and nutrition related to knowledge, attitudes, and behaviors 1 week before (time 1) and 1 week after (time 2) the intervention. Results. The intervention group was more efficacious at time 2 on measures of self-efficacy, pros, cons, intentions, and behavior related to physical activity. This group also reported more favorable changes in practicing healthy eating, balancing food intake with activity level, cooking meals with techniques to reduce fat, and avoiding eating high-fat foods. Effect sizes for all significant differences were small. Conclusion. E-mail is a promising mode of delivery for promoting physical activity and nutrition in the workplace. Further theoretically driven studies are needed.

scholarly journals PO-224 Effect of high-fat diet on body weight and spontaneous physical activity of SD rats

2018 ◽  
Vol 1 (5) ◽  
Author(s):  
Shanshan Cao ◽  
Wei Chen ◽  
Juan Li ◽  
Yuxiu He
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
High Fat Diet ◽  
Activity Level ◽  
Control Group ◽  
Activity Levels ◽  
High Fat ◽  
Exercise Time ◽  
Sd Rats ◽  
Physical Activity Levels

Objective  Excessive intake of high-energy foods and insufficient levels of physical activity are important causes of obesity. In addition, inadequate physical activity is also a major cause of cardiovascular disease and type 2 diabetes. Relevant data suggests that most adults fail to achieve the level of physical activity needed to improve their health. Therefore, understanding the reasons for the lack of physical activity levels is essential for developing a reduction in sedentary and thus preventing chronic acute illnesses. It is well known that physical activity is good for health, but little is known about the genetic and biological factors that may affect this complex behavior. Some studies have shown that diet-induced obesity may alter dopaminergic activity and thus reduce physical activity levels, suggesting that obesity and diet may be inversely related to dopamine signaling. Therefore, it is necessary to further study the correlation between obesity, dopamine and physical activity levels, and to explore the relationship between high-fat diet and body weight changes and physical activity levels. Methods  Sixteen male Sprague-Dawley rats were randomly divided into two groups. The control group (n=8) was fed with basal diet for 8 weeks, and the high-fat group (n=8) was fed with high-fat diet for 8 weeks. To compare the difference in body weight and physical activity between SD rats fed with high-fat diet and normal diet, and the relationship between body weight and body activity level; in order to study the effect of obesity on exercise behavior, use the open field experimental recorder for each The movements of the rats in the group were recorded (autonomic activity for 30 min), and the correlation between the effects of high-fat diet on body weight and spontaneous activities of SD rats was analyzed. Results High-fat diet and normal-fed rats were in energy intake (high-fat group 4583.94±349.85; control group 3201±298.58), body weight (high-fat group 406.23±29.35; control group 306.66±31.44) and Lee's index (high-fat group 26.17 ± 0.57; control group 24.35 ± 0.97) were significantly different. There was a high correlation between energy intake and body weight in rats, correlation coefficient r=0.911 (p<0.01); correlation coefficient between body weight and physical activity level r = 0.576 (p < 0.05). In addition, by comparing the exercise time and average speed of rats in each group, the difference in exercise time between the two groups was not significant, and the average speed difference was significant (p<0.05); exercise time was significantly correlated with physical activity level, r= 0.734 (p<0.01); and the mean speed was also positively correlated with physical activity level, and the correlation coefficient was 0.660 (P<0.01). Conclusions Obesity is greatly affected by dietary factors, and long-term high-fat diets lead to a decline in physical activity, which in turn promotes further deterioration of obesity. This interaction can create a vicious circle between obesity and physical activity. Further research on the mechanisms of obesity, lack of physical activity and their interaction may provide a theoretical basis for increasing the level of physical activity in obese people.

The Impact of Enrollment in an Instructional Physical Activity Program Course on the Physical Activity Level and Enjoyment of Physical Activity of University Students

2020 ◽  
Vol 33 (3) ◽  
Author(s):  
Grant M. Hill ◽  
Bernard D. Goldfine ◽  
Kandice J. Porter ◽  
Zenong Yin
Keyword(s):  
Physical Activity ◽  
Treatment Group ◽  
Physical Activity Level ◽  
Activity Level ◽  
Physical Activity Program ◽  
Control Group ◽  
Activity Levels ◽  
Activity Program ◽  
Training Control ◽  
The Impact

e purposes of this research were to determine whether participation in a university elective instruction-al physical activity program course (IPAP) would increase the weekly physical activity level of students and resultin a signi cantly higher score on the Physical Activity Enjoyment Scale (PACES). Treatment-group participantswere enrolled in an elective IPAP course that was either sport-based (e.g., volleyball, tennis) or physical condi-tioning-based (e.g., aerobic/strength training). Control-group participants (N=180) were students from the sameuniversities who were not enrolled during that term in an IPAP course. Student responses to the Godin-ShephardLeisure-Time Physical Activity Questionnaire indicated within-group changes in pre vs. post physical activity thatwere signi cant for the treatment group, but not the control group. Results indicate participation in an IPAPcourse signi cantly increases the physical activity levels of students and also signi cantly increases the physical activ-ity enjoyment of students with the most sedentary lifestyles.

Parenthood and Physical Activity in Young Adults: A Qualitative Study

2015 ◽  
Vol 12 (6) ◽  
pp. 782-788 ◽  
Author(s):  
Ethan E. Hull ◽  
Jeannette M. Garcia ◽  
Angela M. Kolen ◽  
Robert J. Robertson
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Qualitative Study ◽  
Free Time ◽  
Activity Level ◽  
Activity Levels ◽  
Men And Women ◽  
Time Period ◽  
And Behaviors

Background:New parents have to adjust to less sleep, less free time, and more responsibility as a result of having a child. The purpose of this study was to examine how having a child impacts the physical activity (PA) beliefs and behaviors of new parents over a 2- to 3-year time period.Methods:Participants included 49 men and women (31% men, 96% white) who did not have a child at baseline (26.3 ± 1.1 years old) but did have a child at the time of follow-up (28.9 ± 1.7 years old). The child’s mean age at follow-up was 12 ± 7 months old. PA was measured via questionnaire at baseline and again at follow-up. Interviews regarding PA occurred at follow-up.Results:PA significantly decreased in parents across the time period (P < .001), and parents attributed this decrease to having a child and being pregnant. Parents mentioned they lack time, energy, and motivation for PA as a result of caring for a new child. Parents who maintained their activity level stated they prioritized PA and chose activities they enjoyed.Conclusion:These results show that although activity levels decrease in individuals who have a child, PA in new parents may be a function of priority, intensity, and enjoyment.

scholarly journals Lifestyle E-Coaching for Physical Activity Level Improvement: Short-Term and Long-Term Effectivity in Low Socioeconomic Status Groups

2019 ◽  
Vol 16 (22) ◽  
pp. 4427 ◽  
Author(s):  
Hanne Spelt ◽  
Thomas Tsiampalis ◽  
Pania Karnaki ◽  
Matina Kouvari ◽  
Dina Zota ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Behavioral Control ◽  
Cost Effective ◽  
Activity Level ◽  
Control Group ◽  
Perceived Behavioral Control ◽  
Low Ses ◽  
Activity Levels

E-coaching applications can improve people’s lifestyles; however, their impact on people from a lower socioeconomic status (low SES) is unknown. This study investigated the effectiveness of a lifestyle e-coaching application in encouraging people facing low SES disadvantages to engage in a more active lifestyle over a course of 19 weeks. In this bicountry study, 95 people with low activity level (GR: 50, NL: 45) used a mobile application linked to a wearable activity tracker. At the start and after 6 and 19 weeks, self-reported physical activity levels, attitudes, and intention towards increasing activity levels, perceived behavioral control, and wellbeing were measured. Results indicated that participants using the lifestyle e-coaching application reported significantly more often an increase in activity levels than a parallel control group. Additionally, the people using the application also more often reported increased levels of wellbeing and perceived behavioral control. Therefore, lifestyle e-coaching applications could be a cost-effective solution for promoting healthier lifestyles in low-SES populations.

scholarly journals Measurement of Physical Activity Level in Patients with Ankle Osteoarthritis

2020 ◽  
Vol 5 (4) ◽  
pp. 2473011420S0030
Author(s):  
Seiji Kimura ◽  
Satoshi Yamaguchi ◽  
Yoshimasa Ono
Keyword(s):  
Physical Activity ◽  
Hip Osteoarthritis ◽  
Activity Level ◽  
World Health ◽  
Control Group ◽  
Ankle Osteoarthritis ◽  
Exact Test ◽  
Steps Per Day ◽  
And Gender ◽  
Health Organization

Category: Ankle Arthritis Introduction/Purpose: Maintaining physical activity (PA) is important for reducing the risk of lifestyle-related diseases and fundamental to keep healthy. PA is reduced in patients with knee and hip osteoarthritis, but PA of patients with ankle osteoarthritis has not been clarified. The purpose of this research is to compare PA level and proportion of patients who meet recommendations for health between ankle osteoarthritis and control patients. Methods: The subjects were 50 patients with ankle osteoarthritis (OA group), and 50 patients with minor hand disease matched by age and gender (control Group), who visited our outpatient clinic from October 2016 to April 2019. Both groups had 16 men and 34 women, with an average age of 68 years for the OA group and 66 years for the control group. The visual analogue scale for foot pain was 5.5 on average in the OA group and 0.3 in the control group. The physical activity for one week was measured using a tri-axial accelerometer. Unpaired t-tests were used to compare the number of steps per day and moderate or higher activity time between the OA group and the control group. The proportions of the OA group and the control group that met the recommendations set by Japan and the World Health Organization were compared using Fisher’s exact test. Results: The number of steps per day was 4177 +- 2312 steps in the OA group and 6802 +- 2851 steps in the control group, which was significantly lower in the OA group (p <0.001). Moderate PA time was 448 +- 232 minutes in the OA group and 634 +- 336 minutes in the control group, OA group was significantly lower (p = 0.02). Vigorous PA time was no difference between the two groups. The WHO recommendations were met by 45 patients in the OA group and 48 in the control group, no difference. The Japanese criterion were met by 33 patients in the OA group and 46 in the control group, which was significantly lower in the OA group (p = 0.001). Conclusion: PA of patients with ankle osteoarthritis was less than control patients. The proportion of patients meeting recommendations for health was lower in the OA group than the control group.

scholarly journals Objectively-assessed physical activity and self-reported activity pacing in adults with multiple sclerosis: A pilot study

2021 ◽  
pp. 026921552110241
Author(s):  
Ulric S Abonie ◽  
John Saxton ◽  
Katherine Baker ◽  
Florentina J Hettinga
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Multiple Sclerosis ◽  
Activity Level ◽  
Activity Levels ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Fatigue Severity

Objective: To examine the association between self-reported activity pacing (a strategy to manage fatigue symptoms) and objectively-measured physical activity behaviours in adults with multiple sclerosis. Design: Single cross-sectional study Setting: Multiple sclerosis rehabilitation centre in Colchester, United Kingdom. Subjects: Twenty-one adults (59 ± 9 years) with multiple sclerosis. Main measures: Physical activity behaviours (activity level: activity counts per minute; activity variability: highest activity counts per minute each day divided by activity counts per minute on that day) were measured with accelerometers. Self-reported activity pacing (Activity Pacing and Risk of Overactivity Questionnaire), fatigue severity (Fatigue Severity Scale) and health-related quality of life (RAND-12-Item Short-Form Health Survey) were measured. Scatter plots were used to explore associations between measures. Results: Activity level was 258 ± 133 counts per minutes, activity variability was 4 ± 1, self-reported activity pacing was 3 ± 1, fatigue severity was 5 ± 2 and health-related quality of life was 43 ± 8. Increased self-reported activity pacing was associated with lower activity levels and less variability in daily activities. Conclusion: This investigation suggests that people with multiple sclerosis who have low physical activity levels could be inappropriately using activity pacing as a reactionary response to their multiple sclerosis symptoms.

scholarly journals A Wearable Technology Delivering a Web-Based Diabetes Prevention Program to People at High Risk of Type 2 Diabetes: Randomized Controlled Trial

10.2196/15448 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e15448
Author(s):  
Emily Staite ◽  
Adam Bayley ◽  
Ebaa Al-Ozairi ◽  
Kurtis Stewart ◽  
David Hopkins ◽  
...  
Keyword(s):  
Physical Activity ◽  
Controlled Trial ◽  
Intervention Group ◽  
Diabetes Prevention Program ◽  
Mean Difference ◽  
Control Group ◽  
Web Based ◽  
The Mean

Background Intensive lifestyle interventions are effective in reducing the risk of type 2 diabetes, but the implementation of learnings from landmark studies is expensive and time consuming. The availability of digital lifestyle interventions is increasing, but evidence of their effectiveness is limited. Objective This randomized controlled trial (RCT) aimed to test the feasibility of a web-based diabetes prevention program (DPP) with step-dependent feedback messages versus a standard web-based DPP in people with prediabetes. Methods We employed a two-arm, parallel, single-blind RCT for people at high risk of developing diabetes. Patients with a hemoglobin A1c (HbA1c) level of 39-47 mmol/mol were recruited from 21 general practices in London. The intervention integrated a smartphone app delivering a web-based DPP course with SMS texts incorporating motivational interviewing techniques and step-dependent feedback messages delivered via a wearable device over 12 months. The control group received the wearable technology and access to the web-based DDP but not the SMS texts. As this was a feasibility study, the primary aim was to estimate potential sample size at different stages of the study, including the size of the target study population and the proportion of participants who consented, were randomized, and completed follow-up. We also measured the main outcomes for a full-scale RCT, namely, change in weight and physical activity at 6- and 12-month follow-ups, and secondary outcomes, including changes in the HbA1c level, blood pressure, waist circumference, waist-to-hip ratio, and lipid levels. Results We enrolled 200 participants: 98 were randomized to the intervention and 102 were randomized to the control group. The follow-up rate was higher in the control group (87/102, 85.3%) than in the intervention group (69/98, 70%) at 12 months. There was no treatment effect on weight at 6 months (mean difference 0.15; 95% CI −0.93 to 1.23) or 12 months (mean difference 0.07 kg; 95% CI −1.29 to 1.44) or for physical activity levels at 6 months (mean difference −382.90 steps; 95% CI −860.65 to 94.85) or 12 months (mean difference 92.64 steps; 95% CI −380.92 to 566.20). We did not observe a treatment effect on the secondary outcomes measured at the 6-month or 12-month follow-up. For the intervention group, the mean weight was 92.33 (SD 15.67) kg at baseline, 91.34 (SD 16.04) kg at 6 months, and 89.41 (SD 14.93) kg at 12 months. For the control group, the mean weight was 92.59 (SD 17.43) kg at baseline, 91.71 (SD 16.48) kg at 6 months, and 91.10 (SD 15.82) kg at 12 months. In the intervention group, the mean physical activity was 7308.40 (SD 4911.93) steps at baseline, 5008.76 (SD 2733.22) steps at 6 months, and 4814.66 (SD 3419.65) steps at 12 months. In the control group, the mean physical activity was 7599.28 (SD 3881.04) steps at baseline, 6148.83 (SD 3433.77) steps at 6 months, and 5006.30 (SD 3681.1) steps at 12 months. Conclusions This study demonstrates that it is feasible to successfully recruit and retain patients in an RCT of a web-based DPP. Trial Registration ClinicalTrials.gov NCT02919397; http://clinicaltrials.gov/ct2/show/NCT02919397

scholarly journals Motivating Diabetic and Hypertensive Patients to Increase Physical Activity: The Use of Photos and Group Dynamics

2018 ◽  
Author(s):  
Angela Yee Man Leung ◽  
Pui Hing Chau ◽  
Isaac Leung ◽  
Michael Tse ◽  
Perick Lai Choi Wong ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Lower Limb ◽  
Intervention Group ◽  
Mean Difference ◽  
Regular Physical Activity ◽  
Activity Level ◽  
Control Group ◽  
Body Strength ◽  
Group Meetings

Aims: Photovoice is a strategy to allow people to express their views and concerns about health. This project aimed to promote physical activity (PA) among patients with chronic illness, identify facilitators and barriers for PA, enhance walking within the neighbourhood, and build up efficacy in doing exercise. Design: A quasi-experimental study with waitlisted control and pre-and-post measures. Setting: Community elderly centres. Participants: A total of 204 older adults with diabetes and/or hypertension were recruited. They were assigned to either intervention group (IG) or waitlisted control group (CG). Intervention: Under the supervision of a nurse, six weekly group meetings were arranged in community elderly centres in which the participants freely exchanged their views about the barriers and facilitators of regular physical activity. Participants were encourage to take photos in their neighbourhood or at homes, and brought these photos for sharing in the group meetings. The photos showed the barriers and the facilitators to PA. In the last meeting, each participant worked out a plan to perform PA in the coming four weeks. Measures: PA referred to the number of steps taken per day and it was measured by Garmin Accelerometer at baseline, at Week 6 and Week 10. Other measures include the 9-item Self-efficacy Scale for Exercise - Chinese version (SEE-C), the 23-item Chinese Barriers to Exercise Scale and Senior Fitness Tests. General linear mixed model was used to compare the outcomes between IG and CG after the intervention. Results: After the 6-week intervention, the average number of steps taken by the IG participants increased. At Week 10, there was a significant higher proportion of the IG participants who had increased at least 1,200 steps than that of the CG (Estimate=0.151, SE=0.066, p&lt;0.05). The lower body strength of the IG participants was significantly higher than that of the CG (mean difference = 0.94, t=1.957, p&lt;0.05) and the lower limb flexibility of the IG participants was also significantly higher than that of the CG (mean difference = 2.04, t=2.397, p&lt;0.05) at Week 10. Conclusion: Understanding older adults&rsquo; views and thoughts about barriers to PA through photos and group discussion seemed to be a good strategy to motivate older adults with chronic illnesses to commit to regular physical activity. This photovoice intervention improved the participants&rsquo; physical activity level and physical fitness, particularly in lower limb flexibility and body strength.

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