scholarly journals Relationship Between Disease Activity Level and Physical Activity in Rheumatoid Arthritis Using a Triaxial Accelerometer and Self-reported Questionnaire

2021 ◽  
Author(s):  
Yoichi Toyoshima ◽  
Nobuyuki Yajima ◽  
Tetsuya Nemoto ◽  
Osamu Namiki ◽  
Katsunori Inagaki
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Disease Activity ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Moderate Intensity ◽  
Triaxial Accelerometer ◽  
Cross Sectional ◽  
Fatigue Score ◽  
The Relationship

Abstract Objective: This study evaluated the relationship between rheumatoid arthritis (RA) disease activity level and physical activity (PA) by using an accelerometer and self-reported questionnaire.Results: The cross-sectional study included 34 patients with RA. We classified patients with a Disease Activity Score 28-erythrocyte sedimentation rate (DAS28-ESR) of less than and higher than 3.2 into the low-disease-activity (LDA) group and moderate/high-disease-activity (MHDA) group, respectively. PA was assessed using a triaxial accelerometer. We measured the wear time, time of vigorous-intensity PA (VPA), moderate-intensity PA (MPA), light-intensity PA (LPA), and sedentary behavior per day by using this device. Moreover, we evaluated the relationship between accelerometer-measured and self-reported PAs in each group. The accelerometer-measured moderate-to-vigorous PA (MVPA) was 17.2 min/day and 10.6 min/day in the MHDA group and LDA group (p < .05), respectively. No significant association was observed between RA disease activity level and accelerometer-measured PA with adjustment for age and Functional Assessment of Chronic Illness Therapy-Fatigue score. No correlation was noted between accelerometer-measured MVPA and self-reported MVPA in the MHDA group, but these factors were correlated in the LDA group (rs = 0.5, p < .05). The RA disease activity level and accelerometer-measured PA were not correlated.

scholarly journals Relationship between disease activity level and physical activity in rheumatoid arthritis using a triaxial accelerometer and self-reported questionnaire

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yoichi Toyoshima ◽  
Nobuyuki Yajima ◽  
Tetsuya Nemoto ◽  
Osamu Namiki ◽  
Katsunori Inagaki
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Disease Activity ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Moderate Intensity ◽  
Triaxial Accelerometer ◽  
Cross Sectional ◽  
Fatigue Score ◽  
Chronic Illness Therapy

Abstract Objective This study evaluated the relationship between rheumatoid arthritis (RA) disease activity level and physical activity (PA) by using an accelerometer and self-reported questionnaire. Results The cross-sectional study was part of a cohort study designed to determine disease activity is associated with PA in RA patients. We classified patients with a Disease Activity Score 28-erythrocyte sedimentation rate (DAS28-ESR) of less than and higher than 3.2 into the low-disease-activity (LDA) group and moderate/high-disease-activity (MHDA) group, respectively. We measured the wear time, time of vigorous-intensity PA, moderate-intensity PA, light-intensity PA, and sedentary behavior per day using a triaxial accelerometer. 34 patients were included in the study. The accelerometer-measured moderate-to-vigorous PA (MVPA) was 17.2 min/day and 10.6 min/day in the LDA group and MHDA group (p < 0.05), respectively. There was no significant association between RA disease activity level and accelerometer-measured PA with adjustment for age and Functional Assessment of Chronic Illness Therapy-Fatigue score. There was no correlation between accelerometer-measured MVPA and self-reported MVPA in the MHDA group, but these factors were correlated in the LDA group (rs = 0.57, p < 0.05). In conclusion, no significant association was noted between RA disease activity level and accelerometer-measured PA.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

scholarly journals The Relationship Between Physical Activity Level and Exam Anxiety Level in University Students: A Cross-Sectional Study

2020 ◽  
Vol 8 (04) ◽  
pp. 336-341
Author(s):  
ümit Yalçın
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Physical Activity Level ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Sectional Study ◽  
Cross Sectional ◽  
Exam Anxiety ◽  
The Relationship ◽  
Inactive Group

Introduction: Anxiety, depression and other mental problems are one of the important health problems on university campuses. The anxiety created by the exams in the students negatively affects the students' attitude and success towards the lessons. The studies carried out, the understanding the relationship between exercise, depression and anxiety, and positive results obtained were satisfying and also increased the value given to this issue. In our study, we examined the relationship between university students' physical activity level and exam anxiety. Material-Method: This cross-sectional study was conducted with 175 volunteer university students who did and did not do sports. The International Physical Activity Assessment Questionnaire (IPAQ) Long Form was used to measure the level of physical activity and the Exam Anxiety Inventory to determine the level of anxiety. Results: The rate of female patients was significantly higher in the inactive group than the minimally active and active group (p ˂ 0.05). In the inactive group, the test anxiety score was significantly higher (p ˂ 0.05) than the minimally active and active group. Conclusion: As a result, our research revealed that the physical activity levels of university students are quite low, especially in female students, and there is a relationship between the level of physical activity and anxiety.

scholarly journals Examining the Relationship between Cellphone Use Behavior, Perceived Exercise Benefit and Physical Exercise Level among University Students in Taiwan

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 556
Author(s):  
Mei-Ling Lin ◽  
Wen-Yi Wang ◽  
Chun-Chin Liao ◽  
Yu-Jy Luo ◽  
Chun-Chieh Kao
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Physical Activity Level ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Hierarchical Regression ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Use Behavior ◽  
The Relationship

This study investigated how perceived exercise benefit affects the relationship between cellphone usage and physical activity level. This cross-sectional study performed a survey of Taiwanese university students selected using cluster sampling. A total of 975 students were recruited (male = 367, female = 608, average age = 20.10 ± 1.42). Data were analyzed using descriptive statistics, correlation analysis, and hierarchical regression. The results show that cellphone usage was negatively correlated with physical activity level, whereas perceived exercise benefit was negatively correlated with cellphone usage and positively correlated with physical activity level. In hierarchical regression, the main effects of cellphone usage and perceived exercise benefit explained 22% of the variance in physical activity level. After controlling for the main effect, the interaction term accounted for an additional 1% of the variance. Cellphone usage and perceived exercise benefit thus had significant power to explain physical activity level. The results of this study reveal a novel phenomenon—that students who perceived the benefits of exercise to be greater are more physically active.

scholarly journals A cross-sectional study on assessment of physical activity level and anthropometric indicators of health risk among students of sixth year of Faculty of Medicine of Sarajevo University

2020 ◽  
Vol 8 (1) ◽  
pp. 093-101
Author(s):  
Amra Catovic ◽  
Amina Halilovic
Keyword(s):  
Physical Activity ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Moderate Intensity ◽  
Sectional Study ◽  
Cross Sectional ◽  
Who Criteria ◽  
Increased Risk ◽  
Significant Difference

Overweight and obesity are major public health issues worldwide. There is increased risk of obesity‐related morbidity due to accumulation of abdominal fat. Regulation of body weight depends on physical activity and diet. Young adulthood is very critical period due to a tendency to gain weight and adopt poor dietary and exercise habits. This study aimed to investigate the relationships of the anthropometrical parameters with physical activity domains in everyday life and sedentary behavior among students of sixth year of the Faculty of Medicine of Sarajevo University. A cross-sectional study was conducted during May 2020. The survey covered 56 students, aged 24, who responded online to questionnaire. A self-administered questionnaire composed of two blocks of questions. In the first block of the questionnaire, questions were related to sex, and anthropometric measures. The second block referred to the practice of physical activity (vigorous, moderate, and walking), and sitting during seven days. The data collected were processed by the descriptive statistical procedure. Overweight and obesity was found at 11(19.65%). In sample 46.43% performed vigorous intensity activities that meet with WHO criteria, 58.93 performed moderate intensity activities that meet with WHO criteria, and 39.29% performed walking activities that meet with WHO criteria. There were positive, statistically significant difference between indicators of abdominal obesity and the average time spent during 7 days in vigorous physical activity. Health and physical educators can utilize these findings to better understand that physical activity, trying to balance diet and activities.

Relationship between protein intake in each meal and physical activity level : Cross-sectional Study (Preprint)

2021 ◽  
Author(s):  
Takae Shinto ◽  
Saneyuki Makino ◽  
Yu Tahara ◽  
Lie Nitta ◽  
Mai Kuwahara ◽  
...  
Keyword(s):  
Physical Activity ◽  
Protein Intake ◽  
Dietary Habits ◽  
Cross Sectional Study ◽  
Daily Physical Activity ◽  
Activity Level ◽  
Sectional Study ◽  
Cross Sectional ◽  
Total N ◽  
The Relationship

BACKGROUND Protein intake plays an important role in the synthesis and maintenance of skeletal muscle　in the prevention of health risks. It is also widely known that physical activity influences muscle function. However, no large-scale studies have examined the relationship between daily dietary habits, especially the timing of protein intake, and daily physical activity. OBJECTIVE The purpose of this study was to investigate the relationship between protein intake and composition during the three meals and the amount of daily physical activity using a cross-sectional study design. METHODS Using the daily dietary data accumulated in the phone food-log application “Asken” and a web-based cross-sectional survey to the Asken users (total N = 8,458), we analyzed the nutrient intake and daily activity levels. RESULTS Correlation analysis revealed that breakfast and lunch protein intake had higher positive correlations with daily physical activity among the three major macronutrients (protein, fat, and carbohydrate). These findings were confirmed by multiple regression analysis with confounding factors. Also, participants with higher protein intake and composition at breakfast or lunch tended to exhibit significantly greater physical activity than those with the higher protein intake at dinner. CONCLUSIONS Among the three macronutrients, protein intake during breakfast and lunch was closely associated with daily physical activity.

Are people with rheumatoid arthritis who undertake activity pacing at risk of being too physically inactive?

2012 ◽  
Vol 26 (11) ◽  
pp. 1048-1052 ◽  
Author(s):  
Nienke Cuperus ◽  
Thomas J Hoogeboom ◽  
Yvette Neijland ◽  
Cornelia HM van den Ende ◽  
Noël LW Keijsers
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
At Risk ◽  
Activity Monitor ◽  
Cross Sectional Study ◽  
Activity Levels ◽  
Activity Data ◽  
Cross Sectional ◽  
Specialized Nurse ◽  
The Relationship

Objective: To gain insight into the relationship between activity pacing and physical inactivity. Design: A cross-sectional study. Setting: Outpatient clinic of a rheumatology department. Subjects: Men and women diagnosed with rheumatoid arthritis Main measures: Physical activity was assessed using self-reported measures and an accelerometer-based activity monitor. An occupational therapist and specialized nurse analysed the self-reported physical activity data and classified on the basis of consensus the pacing of activities of all patients as ‘adequate’ or ‘not adequate’. Results: Thirty rheumatoid arthritis patients participated in this study of whom nine were categorized as adequate activity pacers. None of these nine undertook sufficient exercise whereas 6 of the 20 people who did not pace activity appropriately did. Physical activity levels assessed by self-reported measures were significantly higher than when assessed by an accelerometer-based activity monitor. Conclusions: Activity pacing was associated with lower levels of physical activity. Since patients with rheumatoid arthritis are already at risk for inactivity, further inactivation by activity pacing might potentially be harmful.

scholarly journals Physical Activity Level during Pregnancy in South Africa: A Facility-Based Cross-Sectional Study

2020 ◽  
Vol 17 (21) ◽  
pp. 7928
Author(s):  
Uchenna Benedine Okafor ◽  
Daniel Ter Goon
Keyword(s):  
Physical Activity ◽  
South Africa ◽  
Pregnant Women ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Moderate Intensity ◽  
Activity Levels ◽  
Sectional Study ◽  
Cross Sectional ◽  
Household Activities

Physical activity participation during pregnancy confers many maternal and foetal health benefits to the woman and her infant and is recommended by various health bodies and institutions. However, in South Africa, scant information exists about the physical activity status and its determinants among pregnant women. The aim of this study was to assess the physical activity level and associated factors among pregnant women. This cross-sectional study enrolled 1082 pregnant women attending public health facilities in Buffalo City Municipality, Eastern Cape, South Africa. Information on socio-demographic and maternal characteristics were obtained, and the Pregnancy Physical Activity Questionnaire was used to assess physical activity during pregnancy. Multiple logistic regression analyses were used to assess associations between physical activity and the predictor variables during pregnancy. Adjusted odds ratios with 95% confidence interval were applied to estimate factors associated with physical activity levels. Statistical significance was set at p < 0.05. Only 278 of the women (25.7%) met recommendations for prenatal activity (≥150 min moderate intensity exercise per week). The average time spent in moderate–vigorous physical activity was 151.6 min (95% CI: 147.2–156.0). Most of the women participated in light exercises with a mean of 65.9% (95% CI: 64.8–67.0), and 47.6% (95% CI: 46.3–48.9) participated in household activities. The majority of the women did not receive physical activity advice during prenatal care sessions (64.7%). Factors negatively associated with prenatal physical activity were lower age (<19 years) (adjusted odd ratio (AOR) = 0.3; CI: 0.16–0.76), semi-urban residence (AOR = 0.8; CI: 0.55–1.03), lower educational level (AOR = 0.5; CI: 0.20–0.71), unemployment (AOR = 0.5; CI: 0.29–0.77) and nulliparity (AOR = 0.6; CI: 0.28–1.31). However, prenatal physical activity was positively associated with starting physical activity in the first trimester (AOR = 1.9; CI: 1.06–3.31) compared to other trimesters. The findings of this study demonstrated low levels of physical activity during pregnancy in South Africa. The majority of women did not meet the recommendation of 150 min of moderate intensity activity per week. Light intensity and household activities were the most preferred form of activity. The factors affecting physical activity of women in this present study include lower age, semi-urban setting, low educational level, unemployment and nulliparity. In order to increase activity levels, future work should seek to improve knowledge, access and support for physical activity in pregnant women in South Africa. This should include education and advocacy regarding physical activity for professionals involved in maternal health provision.

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