Starrmoses5347

Non-wear time algorithms have not been validated in pregnant women with overweight/obesity (PW-OW/OB), potentially leading to misclassification of sedentary/activity data, and inaccurate estimates of how physical activity is associated with pregnancy outcomes. We examined (1) validity/reliability of non-wear time algorithms in PW-OW/OB by comparing wear time from five algorithms to a self-report criterion and (2) whether these algorithms over- or underestimated sedentary behaviors.

PW-OW/OB (N = 19) from the Healthy Mom Zone randomized controlled trial wore an ActiGraph GT3x + for 7 consecutive days between 8-12 weeks gestation.

Non-wear algorithms (i.e., consecutive strings of zero acceleration in 60-second epochs) were tested at 60, 90, 120, 150, and 180-min. The monitor registered sedentary minutes as activity counts 0-99. Women completed daily self-report logs to report wear time.

Intraclass correlation coefficients for each algorithm were 0.96-0.97; Bland-Altman plots revealed no bias; mean absolute percent errors were <10%. Compared to self-report (M = 829.5, SD = 62.1), equivalency testing revealed algorithm wear times (min/day) were equivalent 60- (M = 816.4, SD = 58.4), 90- (M = 827.5, SD = 61.4), 120- (M = 830.8, SD = 65.2), 150- (M = 833.8, SD = 64.6) and 180-min (M = 837.4, SD = 65.4). Repeated measures ANOVA showed 60- and 90-min algorithms may underestimate sedentary minutes compared to 150- and 180-min algorithms.

The 60, 90, 120, 150, and 180-min algorithms are valid and reliable for estimating wear time in PW-OW/OB. However, implementing algorithms with a higher threshold for consecutive zero counts (i.e., ≥150-min) can avoid the risk of misclassifying sedentary data.

The 60, 90, 120, 150, and 180-min algorithms are valid and reliable for estimating wear time in PW-OW/OB. However, implementing algorithms with a higher threshold for consecutive zero counts (i.e., ≥150-min) can avoid the risk of misclassifying sedentary data.

Multiple unhealthy lifestyle behaviors could synergistically exaggerate unfavorable health outcomes. The present study aimed to investigate the joint associations of device-measured sleep duration and physical activity with cardiometabolic health markers.

A cross-sectional analysis embedded in the 46-48 years wave of the 1970 British Cohort Study.

4756 participants wore an activPAL3 micro accelerometer to measure physical activity and sleep duration. Outcomes included body mass index (BMI), glycated hemoglobin, triglycerides, c-reactive protein, systolic blood pressure, and total-to-high-density lipoprotein (HDL) cholesterol ratio, hypertension, and diabetes. We examined the joint associations of sleep (<7h, short; 7-9h, medium; >9h, long) and physical activity (median cut of step counts, 4740 steps/d; or moderate-to-vigorous physical activity, MVPA, 085h/d) with outcomes by generalized linear models or logistic regression.

Low physical activity combined with either short or long sleep was associated with higher BMI (e.g., 2.32 [1.42, 3.23] (kg/m

) for short sleep) compared to the referent medium sleep and high physical activity combination. Low physical activity combined with long sleep was associated with a higher total-to-HDL cholesterol ratio (e.g., 0.31 [0.12, 0.49] for low step counts). Short sleep combined with low step counts showed higher odds for hypertension and diabetes (1.34 [1.06, 1.69] and 1.98 [1.07, 3.68], respectively), while short sleep combined with either low or high MVPA had higher odds for diabetes (2.04 [1.09, 3.82] and 2.07 [1.04, 4.15], respectively).

Low physical activity may exaggerate the detrimental associations between inadequate sleep with BMI, blood lipids, hypertension, and diabetes.

Low physical activity may exaggerate the detrimental associations between inadequate sleep with BMI, blood lipids, hypertension, and diabetes.The role of ultrasound imaging in the diagnosis and monitoring of paediatric rheumatic diseases with special emphasis on recent scientific work regarding the evidence base and standardization of this technique is being reviewed. An overview of the most important practical aspects for the use of musculoskeletal ultrasound in a clinical setting is also provided. Huge scientific efforts and advances in recent years illustrate the increasing importance of musculoskeletal ultrasound in pediatric rheumatology. Several studies focused on setting an evidence-based standard for the ultrasound appearance of healthy and normal joints in children of all age groups. Physiologic vascularization and ossification were two main aspects of these studies. Other publications demonstrate that ultrasound imaging is also an important and useful tool to detect pathology as synovitis, tenosynovitis or enthesitis in children and to monitor pediatric patients with rheumatic conditions. this website Important practical aspects include training in the use of correct ultrasound techniques, as well as knowledge and experience of normal pediatric sonoanatomy and the appearance of pathological findings on ultrasound.Primary angiitis of the central nervous system (CNS) is an inflammatory vasculopathy affecting the brain and spinal cord. It is a difficult diagnosis to make because of its insidious nonspecific course and its multiple mimics. This review identifies and discusses some noninfectious mimickers of primary CNS angiitis, including reversible cerebral vasoconstriction syndrome, Sneddon's Syndrome, amyloid-beta-related angiopathy, Susac Syndrome, and neurosarcoidosis. Each condition will be reviewed in terms of epidemiology, pathology, clinical presentation, diagnostic approach, and treatment. Distinguishing these mimics from the primary angiitis of the CNS is important for proper treatment and prognosis.

We examined the association between tooth loss, periodontal diseases, and frailty among older American adults.

Data from the National Health and Nutrition Examination Surveys (NHANES) 2011-2014 was used. We included 2368 community-dwelling adults aged 60years and older. Frailty was measured with the 49-item frailty index. Oral health indicators included number of teeth and periodontal disease. A composite nutritional intake variable based on 13 micronutrients from the dietary assessment was created. Negative binomial regression was used to test the association between oral health and frailty. The first model was adjusted for age and gender, the second model was additionally adjusted for nutritional intake, and the third model was additionally adjusted for other covariates.

For each additional tooth, the rate ratio (RR) for frailty was 0.99 [95% confidence interval (CI) 0.98-0.99] in the fully adjusted model. Similarly, participants with moderate-severe periodontitis had 1.08 RR (95% CI 1.02-1.14) for frailty index compared with participants with no periodontitis after adjusting for age, gender, and poor nutritional intake.