Relationship between disease activity level and physical activity in rheumatoid arthritis using a triaxial accelerometer and self-reported questionnaire.
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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.
SUBMITTER: Toyoshima Y
PROVIDER: S-EPMC8237436 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundPhysical inactivity is a major cardiovascular risk factor. Recently, we showed that non-exercise activity thermogenesis (NEAT) assessed by the self-reported questionnaire is favorably associated with metabolic risks in patients with type 2 diabetes. The purpose of the present study was to examine the validity of the questionnaire by comparing with objectively measured daily physical activity (PA) by using the triaxial accelerometer.MethodsDaily physical activity level (PAL) of 51 participants (24 men and 27 women) with type 2 diabetes was measured by the triaxial accelerometer. At the same time, we evaluated their NEAT score using our original questionnaire modified from a compendium of physical activities.ResultsThe NEAT score was significantly and positively correlated with PAL measured by the triaxial accelerometer (r = 0.604, P < 0.001). PAL was also significantly and positively correlated with both the locomotive NEAT score and the non-locomotive NEAT score (r = 0.444, P = 0.001 and r = 0.526, P < 0.001, respectively).ConclusionsThe NEAT score measured by the self-reported questionnaire was highly correlated with PAL measured by the triaxial accelerometer. Our original NEAT questionnaire may be useful for evaluation of daily PAL in clinical practices.
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Project description:The purpose of this study was to establish GENEA (Gravity Estimator of Normal Everyday Activity) cut-points for discriminating between six relative-intensity activity levels in middle-aged recreational marathoners. Nighty-eight (83 males and 15 females) recreational marathoners, aged 30-45 years, completed a cardiopulmonary exercise test running on a treadmill while wearing a GENEA accelerometer on their non-dominant wrist. The breath-by-breath V̇O2 data was also collected for criterion measure of physical activity categories (sedentary, light, moderate, vigorous, very vigorous and extremely vigorous). GENEA cut-points for physical activity classification was performed via Receiver Operating Characteristic (ROC) analysis. Spearman's correlation test was applied to determine the relationship between estimated and measured intensity classifications. Statistical analysis were done for all individuals, and separating samples by sex. The GENEA cut-points established were able to distinguish between all six-relative intensity levels with an excellent classification accuracy (area under the ROC curve (AUC) values between 0.886 and 0.973) for all samples. When samples were separated by sex, AUC values were 0.881-0.973 and 0.924-0.968 for males and females, respectively. The total variance in energy expenditure explained by GENEA accelerometer data was 78.50% for all samples, 78.14% for males, and 83.17% for females. In conclusion, the wrist-worn GENEA accelerometer presents a high capacity of classifying the intensity of physical activity in middle-aged recreational marathoners when examining all samples together, as well as when sample set was separated by sex. This study suggests that the triaxial GENEA accelerometers (worn on the non-dominant wrist) can be used to predict energy expenditure for running activities.
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2021-09-01 | GSE179302 | GEO
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| S-EPMC4417049 | biostudies-literature
Project description:Self-reported physical activity measures continue to be validated against accelerometers; however, the absence of standardized, accelerometer moderate-to-vigorous physical activity (MVPA) definitions has made comparisons across studies difficult. Furthermore, recent accelerometer models assess accelerations in three axes, instead of only the vertical axis, but validation studies have yet to take incorporate triaxial data.Participants (n = 10 115) from the Women's Health Study wore a hip-worn accelerometer (ActiGraph GT3X+) for seven days during waking hours (2011-2014). Women then completed a physical activity questionnaire. We compared self-reported with accelerometer-assessed MVPA, using four established cutpoints for MVPA: three using only vertical axis data (760, 1041 and 1952 counts per minute (cpm)) and one using triaxial data (2690 cpm).According to self-reported physical activity, 66.6% of women met the US federal physical activity guidelines, engaging in ?150 minutes per week of MVPA. The percent of women who met guidelines varied widely depending on the accelerometer MVPA definition (760 cpm: 50.0%, 1041 cpm: 33.0%, 1952 cpm: 13.4%, and 2690 cpm: 19.3%).Triaxial count data do not substantially reduce the difference between self-reported and accelerometer-assessed MVPA.
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| S-EPMC3372468 | biostudies-literature
Project description:BackgroundNumerous studies have reported weak or moderate correlations between self-reported and accelerometer-assessed physical activity. One explanation is that self-reported physical activity might be biased by demographic, cognitive or other factors. Cognitive function is one factor that could be associated with either overreporting or underreporting of daily physical activity. Difficulties in remembering past physical activities might result in recall bias. Thus, the current study examines whether the cognitive function is associated with differences between self-reported and accelerometer-assessed physical activity.MethodsCross-sectional data from the population-based Activity and Function in the Elderly in Ulm study (ActiFE) were used. A total of 1172 community-dwelling older adults (aged 65-90 years) wore a uniaxial accelerometer (activPAL unit) for a week. Additionally, self-reported physical activity was assessed using the LASA Physical Activity Questionnaire (LAPAQ). Cognitive function was measured with four items (immediate memory, delayed memory, recognition memory, and semantic fluency) from the Consortium to Establish a Registry for Alzheimer's Disease Total Score (CERAD-TS).ResultsMean differences of self-reported and accelerometer-assessed physical activity (MPA) were associated with cognitive function in men (rs = -.12, p = .002) but not in women. Sex-stratified multiple linear regression analyses showed that MPA declined with high cognitive function in men (β = -.13; p = .015).ConclusionResults suggest that self-reported physical activity should be interpreted with caution in older populations, as cognitive function was one factor that explained the differences between objective and subjective physical activity measurements.
| S-EPMC5822490 | biostudies-literature
Project description:The objective of this study is to determine whether summary estimates of a self-report physical activity questionnaire that does not specifically assess frequency or duration (the Coronary Artery Risk Development in Young Adults (CARDIA) physical activity history (PAH)) differs from the summary estimates of one that does (CARDIA Supplemental Questionnaire).After the year 25 examination (2010-2011), 203 CARDIA black and white men and women (age 50.3 ± 3.6 yr) at the Oakland, CA, site participated in this comparison study. The between-questionnaire association and agreement were determined for continuous and categorical estimates on the basis of 1) quartiles and 2) meeting 2008 physical activity guidelines. Differences in participant characteristics by concordance/discordance status were also examined. Finally, receiver operating characteristic curves were computed to determine the accuracy of the PAH compared with the supplemental questionnaire.Reported physical activity levels were high and varied significantly by race and sex (all P < 0.01). Between-questionnaire estimates were significantly correlated (rho = 0.75 to 0.90, all P < 0.001) and had high agreement (? = 0.51 to 0.80) across all race/sex groups. A higher proportion of women than men were classified as concordant by quartile of vigorous intensity (P = 0.001), but no other participant characteristics were associated with concordant/discordant quartile ranking. Participants classified as concordant on the basis of physical activity guidelines had lower body mass index than those classified as discordant (both P < 0.05). The area under the curve was 0.95, suggesting that the PAH has high accuracy for classifying individuals as meeting physical activity guidelines.Although it is inconvenient that the PAH is not expressed in more standard units, these findings support the practice of not directly assessing frequency and duration, which are frequent sources of reporting error.
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