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

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.

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

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


Author(s):  
Thaynã Alves Bezerra ◽  
Paulo Felipe Ribeiro Bandeira ◽  
Anastácio Neco de Souza Filho ◽  
Cain Craig Truman Clark ◽  
Jorge Augusto Pinto Silva Mota ◽  
...  

Background: The relationship between moderate to vigorous physical activity (MVPA) and fundamental motor skill (FMS) is inconsistent in early childhood, due to its complex and nonlinear characteristics. This study aimed to analyze the nonlinear relationships between MVPA, FMS, body mass index (BMI), sex, and age in preschoolers. Methods: This cross-sectional study with preschoolers (n = 204; 4.0 [0.8] y old; 99 boys), provided objective physical activity data, FMS assessments, and BMI. The associations between MVPA, FMS, BMI, sex, and age were explored using the network analysis (RStudio and qgraph). Results: Boys were more motor competent than girls in all FMS skills, while girls were more active than boys during the weekend. Older children were less active than their younger peers during these days. MVPA is weak and differently related to each FMS, and the leap skill emerged with the highest betweenness and strength values in the network. Conclusions: For the assessed preschoolers, when considering BMI, age, and sex, the relationships between MVPA and FMS are inconsistent, and leap emerged as the main variable. During early childhood, these variables are connected as part of a complex system in which each skill has a dynamic role within the emerging pattern.


2021 ◽  
Author(s):  
Yoichi Toyoshima ◽  
Nobuyuki Yajima ◽  
Tetsuya Nemoto ◽  
Osamu Namiki ◽  
Katsunori Inagaki

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.


Author(s):  
Damiano Pizzol ◽  
Lee Smith ◽  
Ai Koyanagi ◽  
Brendon Stubbs ◽  
Igor Grabovac ◽  
...  

Appropriate management of diabetes mellitus (DM) includes following a healthy lifestyle, in which reaching physical activity (PA) recommendations is an important factor. Despite this, it remains unclear whether people with DM meet the recommended PA targets. We therefore aimed to investigate the proportion of older adults with DM (type 1 and 2) engaging in the recommended amount of PA per week in a cross-sectional study. PA levels were objectively measured using the GT1M ActiGraph accelerometer for seven consecutive days, and the cut-off of 150 min of moderate-to-vigorous PA (MVPA) was used. To assess the relationship between not meeting the recommendation for, and the significant factors associated with PA level (MVPA < 150 min/week), a multivariable logistic regression analysis was applied. 197 diabetic participants (mean age = 66.8 years; 46.7% males) spent only 74.5 ± 94.4 min/weekly in MVPA, and only 39 (=19.8%) reached the cut-off for sufficient PA levels. Significant correlates of not meeting the recommendation for PA levels were female sex, depressive symptoms, and age. In conclusion, only one-fifth of diabetic people reached the recommended amount of PA, suggesting that more intervention is needed to increase PA levels in this population.


Author(s):  
Masoud Mirzaei ◽  
Nasim Namiranian ◽  
Behnam Bagheri-Fahraji ◽  
Somaye Gholami

Background: Changes in the state of energy balance owing to changes in physical activity (PA) may affect the reproductive system. Objectives: the aim of this study was to assess the association between PA and infertility of women living in Yazd 2014 - 2015. Materials and Methods: The study method was analytical cross-sectional on the Yazd Health Study (YaHS) data which was conducted on 10,000 people. We studied 2,611 women (20 and 49 yrs old), living in Greater Yazd area. PA information was collected using a physical activity questionnaire (IPAQ) short form. The standardized instruments were used for anthropometrics measurement. Results: Totally 135 cases of infertility were documented. The overall prevalence of infertility was 4.73% (95% CI: 3.94-5.59%). The median of PA scores (METs) in women was 746.66 and 25-75% interquartile range was 361.25-1277.25. The relationship according to the Chi-square test between infertility and PA, as categorized variables, was significant (p = 0.015). It showed over 90% of those who suffered from infertility had a low or moderate PA. Conclusion: The results of our study showed that there is a significant relationship between infertility and PA level in women living in Greater Yazd area. Also, women with infertility had lower activity levels, consistent with most previous studies. Key words: Women, Infertility, Physical activity, Yazd, Iran.


2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Satomi Sawa ◽  
Michikazu Sekine ◽  
Masaaki Yamada ◽  
Yugo Fukazawa ◽  
Yusuke Hiraku

Abstract Background Many studies have already reported on the relationship between exercise habits and health among schoolchildren. However, few have examined social and/or family factors as determinants of exercise habits. Methods This study’s participants included 1721 schoolchildren aged between 6 and 13 who were involved in the Super Shokuiku School Project in January 2016. A survey was conducted to assess gender, grade level, physical activity, lifestyle, overall health, enrichment of school life, social background, and parental lifestyles. Both dislike and lack of physical activity were used to measure poor exercise habits; correlates were analyzed using logistic regression. Results “Lack of close friends” had the strongest links with both dislike (adjusted odds ratio [OR] 5.30; 95% confidence interval [CI], 2.78–10.1) and lack of (adjusted OR 5.40; 95% CI, 2.81–10.4) physical activity. Further, children who engaged in long periods of screen time and lacked parental communication also tended to dislike and lack physical activity. Children with mothers who were unemployed (housewives) and had unhealthy lifestyles, as well as those with poor health, were also more likely to lack physical activity. Conclusion Social and family factors (e.g., having close friends) may be determinants of exercise habits among schoolchildren, independent of their own lifestyle factors. Although a longitudinal study is needed to determine causality, substantial attention may thus be required to these factors when promoting physical activity in children.


2021 ◽  
Vol 10 (6) ◽  
pp. 1229
Author(s):  
Jose Luis Perez-Lasierra ◽  
Martin Laclaustra ◽  
Pilar Guallar-Castillón ◽  
Jose Antonio Casasnovas ◽  
Jose Antonio Casajús ◽  
...  

Sedentarism is a risk factor for cardiovascular disease (CVD), but currently it is not clear how a sedentary behavior such as long sitting time can affect atherosclerosis development. This study examined the relationship between sitting time and the prevalence of carotid and femoral subclinical atherosclerosis. A cross-sectional analysis based on a subsample of 2082 participants belonging to the Aragon Workers’ Health Study was carried out. Ultrasonography was used to assess the presence of plaques in carotid and femoral territories; the validated Spanish version of the questionnaire on the frequency of engaging in physical activity used in the Nurses’ Health Study and the Health Professionals’ was used to assess physical activity and sitting time; and demographic, anthropometric, and clinical data were obtained by trained personnel during the annual medical examination. Participants were categorized into <9 h/day and ≥9 h/day sitting time groups. After adjusting for several confounders, compared with participants that remain seated <9 h/day, those participants who remain seated ≥9 h/day had, respectively, OR = 1.25 (95%CI: 1.01, 1.55, p < 0.05) and OR = 1.38 (95%CI: 1.09, 1.74, p < 0.05) for carotid and any-territory plaque presence. Remaining seated ≥9 h/day is associated with higher odds for carotid and any-territory plaque presence independently of physical activity levels and other cardiovascular risk factors.


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