Improved vascular health linked to increased physical activity levels and reduced sedentary behavior in rheumatoid arthritis.

Rheumatoid arthritis (RA) is characterized by deteriorated vascular health and increased cardiovascular risk. Physical activity (PA) is recommended for cardiovascular management in RA, but evidence on the associations between objectively-measured PA and vascular health markers in RA is limited. In this cross-sectional study, eighty-two post-menopausal women with RA (62±7 years) undertook ultrasound assessments of vascular function and structure, including brachial and superficial femoral artery (BA and SFA) flow-mediated dilation; baseline and post-hyperemia peak diameters; and carotid intima-media thickness. Participants also performed a 7-day accelerometer-based assessment of PA and sedentary behavior (SB). Fitted regression models controlled for age, body mass index and disease activity were conducted to examine associations between vascular and PA outcomes. Regression analyses revealed that prolonged SB (bouts>60min) and total sedentary time were inversely associated with both baseline and peak BA diameters, with each additional hour of SB resulting in decreases of 0.08-0.1mm in these diameters (p≤0.01). Total sedentary time also showed similar negative associations with peak SFA diameters (ß=-0.14[-0.24-0.05], p<0.01). Conversely, light-intensity PA and stepping time were positively associated with both baseline and peak BA diameters, with each additional hour increasing these diameters by 0.10-0.24mm (p≤0.02). Finally, standing time was positively associated with SFA peak diameter (ß=0.11[0.01-0.20], p=0.02). No associations were found between moderate-to-vigorous PA and vascular outcomes. In conclusion, in patients with RA, SB was negatively, while light PA was positively, associated with BA and SFA diameters. These findings suggest that reducing SB and increasing PA, even at light intensities, may improve vascular health in RA.

Diet Quality Changes in a 12-Week Web-Based Physical Activity Intervention without Explicit Dietary Guidance.

Lifestyle habits seem interconnected and extant studies suggest that a lifestyle-related modification can impact other related behaviors. For instance, interventions targeting physical activity (PA) could potentially impact dietary patterns and quality. Therefore, we hypothesized that a web-based intervention to increase PA would lead to changes in diet quality without explicit dietary guidance. Our aim was to evaluate changes in diet quality, measured by the Healthy Eating Index 2020 (HEI-2020), following a 12-week web-based PA intervention in adults with obesity. The study consisted of secondary analysis of a 12-week pilot randomized controlled trial, wherein participants (N = 82) were randomized to the Physical Activity for The Heart (PATH) intervention group, which included workout videos and virtual coaching, or a wait-list control group. Diet quality was assessed at baseline and post-intervention using the HEI-2020 based on recalls collected through the Automated Self-Administered 24-h recall (ASA-24) system. Baseline characteristics were similar across groups. Both groups showed small improvements in HEI-2020 total scores after 12 wk (PATH: 65.11 vs. Control: 62.24). Stratification by moderate to vigorous physical activities increase (<60 min. vs. ≥60 min.) revealed greater improvements in specific HEI-2020 components in the ≥60 min group, though overall changes remained modest. The PA intervention led to small improvements in certain diet quality components, suggesting potential interconnectedness between PA and dietary habits. However, overall changes in HEI-2020 scores were modest. Future research with larger samples should explore the effects of PA intervention alone vs. combined with dietary guidance on diet quality in adults with obesity.

Association between physical activity and immunogenicity of an inactivated virus vaccine against SARS-CoV-2 in patients with autoimmune rheumatic diseases.

OBJECTIVES: To investigate whether physical activity is associated with enhanced immunogenicity of a SARS-CoV-2 inactivated vaccine (Coronavac) in patients with autoimmune rheumatic diseases (ARD) (n = 898) and in non-ARD (n = 197) individuals without pre-existing immunogenicity to SARS-CoV-2. METHODS: This was a prospective cohort study within an open-label, single-arm, phase 4 vaccination trial. Immunogenicity was assessed after vaccination by measuring seroconversion rates of total anti-SARS-CoV-2 S1/S2 IgG (SC), geometric mean titers of anti-S1/S2 IgG (GMT), factor-increase in GMT (FI-GMT), frequency of neutralizing antibody (NAb), and median neutralizing activity. Physical activity (active being defined as ≥ 150 min/week) and sedentary behavior (>8h/day) were assessed by questionnaire. RESULTS: Physically active ARD patients (n = 494) were younger and less frequently used prednisone/biologics than inactive patients (n = 404). After controlling for covariates, active patients exhibited greater SC (OR: 1.4 [95%CI: 1.1-2.0]), GMT (32% [95%CI: 8.8-60) and FI-GMT (33% [95%CI: 9.6-63%]) vs. inactive. Cluster analysis (physical activity/sedentary status) revealed greater GMT (43.0% [95% CI: 11.0-84.0%) and FI-GMT (48.0% [95%CI: 14.0-92.0%]) in active/non-sedentary vs. inactive/sedentary ARD patients. A dose-response was observed, with greater benefits for the group of patients performing ≥ 350 min/week of physical activity (OR: 1.6 [95%CI: 1.1-2.4]; 41% [95%CI: 10-80%]; 35% [95%CI: 4.3-74], for SC, GMT, and FI-GMT, respectively) vs. the least active group (≤30 min/week). Greater SC (OR: 9.9 [95%CI: 1.1-89.0]) and GMT (26% [95%CI: 2.2-56.0%]) were observed in active vs. inactive non-ARD. CONCLUSIONS: A physically active lifestyle may enhance SARS-CoV-2 vaccine immunogenicity, a finding of particular clinical relevance for immunocompromised patients. TRIAL REGISTRATION: Clinicaltrials.gov #NCT04754698.

Acute cardiometabolic effects of brief active breaks in sitting for patients with rheumatoid arthritis.

Exercise is a treatment in rheumatoid arthritis, but participation in moderate-to-vigorous exercise is challenging for some patients. Light-intensity breaks in sitting could be a promising alternative. We compared the acute effects of active breaks in sitting with those of moderate-to-vigorous exercise on cardiometabolic risk markers in patients with rheumatoid arthritis. In a crossover fashion, 15 women with rheumatoid arthritis underwent three 8-h experimental conditions: prolonged sitting (SIT), 30-min bout of moderate-to-vigorous exercise followed by prolonged sitting (EX), and 3-min bouts of light-intensity walking every 30 min of sitting (BR). Postprandial glucose, insulin, c-peptide, triglycerides, cytokines, lipid classes/subclasses (lipidomics), and blood pressure responses were assessed. Muscle biopsies were collected following each session to assess targeted proteins/genes. Glucose [-28% in area under the curve (AUC), P = 0.036], insulin (-28% in AUC, P = 0.016), and c-peptide (-27% in AUC, P = 0.006) postprandial responses were attenuated in BR versus SIT, whereas only c-peptide was lower in EX versus SIT (-20% in AUC, P = 0.002). IL-1ß decreased during BR, but increased during EX and SIT (P = 0.027 and P = 0.085, respectively). IL-1ra was increased during EX versus BR (P = 0.002). TNF-α concentrations decreased during BR versus EX (P = 0.022). EX, but not BR, reduced systolic blood pressure (P = 0.013). Lipidomic analysis showed that 7 of 36 lipid classes/subclasses were significantly different between conditions, with greater changes being observed in EX. No differences were observed for protein/gene expression. Brief active breaks in sitting can offset markers of cardiometabolic disturbance, which may be particularly useful for patients who may find it difficult to adhere to exercise.NEW & NOTEWORTHY Exercise is a treatment in rheumatoid arthritis but is challenging for some patients. Light-intensity breaks in sitting could be a promising alternative. Our findings show beneficial, but differential, cardiometabolic effects of active breaks in sitting and exercise in patients with rheumatoid arthritis. Breaks in sitting mainly improved glycemic and inflammatory markers, whereas exercise improved lipidomic and hypotensive responses. Breaks in sitting show promise in offsetting aspects of cardiometabolic disturbance associated with prolonged sitting in rheumatoid arthritis.

Physical Activity: A Strategy to Improve Antibody Response to a SARS-CoV-2 Vaccine Booster Dose in Patients With Autoimmune Rheumatic Diseases.

BACKGROUND: Physical activity associates with improved immunogenicity following a 2-dose schedule of CoronaVac (Sinovac's inactivated SARS-CoV-2 vaccine) in patients with autoimmune rheumatic diseases (ARD). This study evaluates whether physical activity impacts vaccine-induced antibody responses to a booster dose in this population. METHODS: This was a phase-4 trial conducted in São Paulo, Brazil. Patients with ARD underwent a 3-dose schedule of CoronaVac. One month after the booster, we assessed seroconversion rates of anti-SARS-CoV-2 S1/S2 IgG, geometric mean titers of anti-S1/S2 IgG, frequency of positive neutralizing antibodies, and neutralizing activity. Physical activity was assessed through questionnaire. RESULTS: Physically active (n = 362) and inactive (n = 278) patients were comparable for most characteristics; however, physically active patients were younger (P < .01) and had a lower frequency of chronic inflammatory arthritis (P < .01). Adjusted models showed that physically active patients had ∼2 times odds of seroconversion rates (OR: 2.09; 95% confidence interval, 1.22 to 3.61), ∼22% greater geometric mean titers of anti-S1/S2 IgG (22.09%; 95% confidence interval, 3.91 to 65.60), and ∼7% greater neutralizing activity (6.76%; 95% confidence interval, 2.80 to 10.72) than inactive patients. CONCLUSIONS: Patients with ARD who are physically active have greater odds of experiencing better immunogenicity to a booster dose of CoronaVac. These results support the recommendation of physical activity to improve vaccination responses, particularly for immunocompromised individuals.

Effect of an exercise bout before the booster dose of an inactivated SARS-CoV-2 vaccine on immunogenicity in immunocompromised patients.

This randomized controlled study aimed to investigate whether a single bout of exercise before the homologous booster dose of a SARS-CoV-2 inactivated vaccine could enhance immunogenicity in patients with spondyloarthritis. We selected 60 consecutive patients with spondyloarthritis (SpA). Patients assigned to the intervention group performed an exercise bout comprising three exercises. Then, they remained at rest for 1 h before vaccination. The control group remained at rest before vaccination. Immunogenicity was assessed before (Pre) and 1 mo after (Post) the booster using seropositivity rates of total anti-SARS-CoV-2 S1/S2 IgG, geometric mean titers of anti-S1/S2 IgG (GMT), frequency of neutralizing antibodies (NAb) positivity, and NAb activity. At Pre, 16 patients from the exercise group and 16 patients from the control group exhibited seropositivity for IgG (59% vs. 57.1%), and 1 mo after the booster dose, seropositivity occurred in 96% versus 100% of the cases. Only 10 patients from the exercise group and 12 patients from the control group showed positive NAb serology at Pre (37% vs. 42.8%). One month following the booster, NAb positivity was 96% versus 93%. GMT was comparable between groups at Pre. At Post, GMT increased similarly in both groups. Likewise, NAb activity was similar between groups at Pre and increased similarly in both of them as a result of the booster (47.5% vs. 39.9%). In conclusion, a single bout of exercise did not enhance immunogenicity to a homologous booster dose of an inactivated SARS-CoV-2 vaccine among patients with spondyloarthritis.NEW & NOTEWORTHY We tested the role of exercise as an adjuvant to a booster of a COVID-19 vaccine. Immunocompromised patients were immunized after an acute bout of exercise or not. Patients exhibited an excellent immunogenicity in response to the booster dose. Exercise did not add to the vaccine effects on IgG or neutralizing antibodies.

Poor Sleep quality and health-related quality of life impact in adolescents with and without chronic immunosuppressive conditions during COVID-19 quarantine.

OBJECTIVE: To assess the possible factors that influence sleep quality in adolescents with and without chronic immunosuppressive conditions quarantined during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This cross-sectional study included 305 adolescents with chronic immunocompromised conditions and 82 healthy adolescents. Online surveys were completed, which included questions on socio-demographic data and self-rated healthcare routine during COVID-19 quarantine and the following validated questionnaires: the Pittsburgh Sleep Quality Index (PSQI), Pediatric Quality of Life Inventory 4.0 (PedsQL4.0), and Pediatric Outcome Data Collection Instrument (PODCI). RESULTS: The median current age [14 (10-18) vs. 15 (10-18) years, p=0.847] and frequency of female sex (62% vs. 58%, p=0.571) were similar in adolescents with chronic conditions compared with healthy adolescents. The frequency of poor sleep quality was similar in both groups (38% vs. 48%, p=0.118). Logistic regression analysis, including both healthy adolescents and adolescents with chronic conditions (n=387), demonstrated that self-reported increase in screen time (odds ratio [OR] 3.0; 95% confidence interval [CI] 1.3-6.8; p=0.008) and intrafamilial violence report (OR 2.1; 95% CI 1.2-3.5; p=0.008) were independently associated with poor sleep quality in these adolescents. However, the PODCI global function score was associated with a lower OR for poor sleep quality (OR 0.97; 95% CI 0.94-0.99; p=0.001). Further logistic regression, including only adolescents with chronic conditions (n=305), demonstrated that self-reported increase in screen time (OR 3.1; 95% CI 1.4-6.8; p=0.006) and intrafamilial violence report (OR 2.0; 95% CI 1.2-3.4; p=0.011) remained independently associated with poor quality of sleep, whereas a lower PODCI global function score was associated with a lower OR for sleep quality (OR 0.96; 95% CI 0.94-0.98; p<0.001). CONCLUSION: Self-reported increases in screen time and intrafamilial violence report impacted sleep quality in both healthy adolescents and those with chronic conditions. Decreased health-related quality of life was observed in adolescents with poor sleep quality.

Poor Sleep quality and health-related quality of life impact in adolescents with and without chronic immunosuppressive conditions during COVID-19 quarantine

OBJECTIVE: To assess the possible factors that influence sleep quality in adolescents with and without chronic immunosuppressive conditions quarantined during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This cross-sectional study included 305 adolescents with chronic immunocompromised conditions and 82 healthy adolescents. Online surveys were completed, which included questions on socio-demographic data and self-rated healthcare routine during COVID-19 quarantine and the following validated questionnaires: the Pittsburgh Sleep Quality Index (PSQI), Pediatric Quality of Life Inventory 4.0 (PedsQL4.0), and Pediatric Outcome Data Collection Instrument (PODCI). RESULTS: The median current age [14 (10-18) vs. 15 (10-18) years, p=0.847] and frequency of female sex (62% vs. 58%, p=0.571) were similar in adolescents with chronic conditions compared with healthy adolescents. The frequency of poor sleep quality was similar in both groups (38% vs. 48%, p=0.118). Logistic regression analysis, including both healthy adolescents and adolescents with chronic conditions (n=387), demonstrated that self-reported increase in screen time (odds ratio [OR] 3.0; 95% confidence interval [CI] 1.3-6.8; p=0.008) and intrafamilial violence report (OR 2.1; 95% CI 1.2-3.5; p=0.008) were independently associated with poor sleep quality in these adolescents. However, the PODCI global function score was associated with a lower OR for poor sleep quality (OR 0.97; 95% CI 0.94-0.99; p=0.001). Further logistic regression, including only adolescents with chronic conditions (n=305), demonstrated that self-reported increase in screen time (OR 3.1; 95% CI 1.4-6.8; p=0.006) and intrafamilial violence report (OR 2.0; 95% CI 1.2-3.4; p=0.011) remained independently associated with poor quality of sleep, whereas a lower PODCI global function score was associated with a lower OR for sleep quality (OR 0.96; 95% CI 0.94-0.98; p<0.001). CONCLUSION: Self-reported increases in screen time and intrafamilial violence report impacted sleep quality in both healthy adolescents and those with chronic conditions. Decreased health-related quality of life was observed in adolescents with poor sleep quality.