Objectives: To assess the associations of sedentary behavior (SB) with sleep quality and duration in pregnant women by trimesters and to consider SB domains and patterns. Methods: This investigation included 935 participants (age = 30.0 ± 5.6 years; first trimester = 24.1%, second trimester = 33.9%, third trimester = 42.0%). The total, domains (leisure, occupational, commuting), and patterns (weekdays, weekends) of SB, as well as sleep quality and duration, were self-reported. Adjusted logistic regression models examined the associations of different SBs with the risk of poor sleep quality, not adhering to sleep duration guidelines (7–9 h/day), or being a short- or long-sleeper. Results: The odds of poor sleep quality were significantly higher by 14.2% and 7.4% for each hour increase in total and leisure SB on weekends, respectively. The odds of not adhering to sleep duration guidelines were significantly higher by 5.5% and 11.4% for each hour increase in total and leisure SB during weekdays, respectively; paradoxically, the odds of not complying with the sleep duration guidelines were significantly lower, ranging between 6.6% and 34.4% for each hour increase in total, leisure, or commuting SB on weekends. Further, when analyzed separately, the likelihood of being a short- or long-sleeper was highly variable across SB domains, with associations being more apparent in the first and third trimesters. Conclusions: The relationship between SB and healthy sleep during pregnancy was complex. These variable findings underscore the importance of considering domains and patterns of SB beyond simple total durations in future research to inform interventions and guidelines to improve sleep health during pregnancy.

Background: The Capability Assessment for Diet and Activity (CADA) is a questionnaire that was developed in English and designed to measure the practical barriers and opportunities for diet and physical activity. Objective: This study aimed to translate, culturally adapt, and validate the CADA questionnaire for the Arabic context in a sample of Saudi women employed at a university. Methods: The CADA was translated into Arabic using the forward and backward translation process. The Arabic version was then validated with a sample of 125 female Saudi participants. In order to evaluate the psychometric properties of the Arabic version, Spearman’s rank correlation coefficient was assessed, and a principal component analysis was performed. Results: The translated CADA had good psychometric quality. The content validity analysis revealed a representativeness score of 99.3% and a degree of clarity of 98.6%, indicating excellent compatibility. The principal component analysis showed a single-factor structure. Conclusions: The Arabic version of the CADA questionnaire is now available to assess opportunities to achieve a healthy diet and physical activity level as part of health behavior management, which can lead to more effective interventions for improving people’s health in Arabic-speaking countries.

Background: Complying with 24 h movement behavior guidelines for pregnant women may prevent pregnancy complications. This single time point, cross-sectional investigation assessed compliance with the 24 h movement behavior guidelines in pregnant women in Saudi Arabia and examined the role of trimester and maternal characteristics. Methods: Pregnant women (n = 935; age = 30 ± 5.6 years; first trimester = 24.1%, second trimester = 33.9%, third trimester = 42.0%) self-reported their characteristics (nationality, region, degree, occupation, smoking status, health status, having children, previous birth). The short-version International Physical Activity Questionnaire, Sedentary Behavior Questionnaire, and Pittsburgh Sleep Quality Index Questionnaire measured moderate physical activity (MPA), sedentary behavior (SB), and sleep duration, respectively. Compliance with the 24 h movement behavior guidelines was reported using frequencies and percentages. Prevalence ratios compared the prevalence of compliance by trimester and maternal characteristics. Results: Approximately half of the participants did not comply with MPA or sleep duration guidelines (n = 524, [56.0%] and n = 424, [45.5%], respectively). In contrast, about two-thirds of participants (n = 648, [69.3%]) adhered to the SB guideline. Only 154 (16.5%) participants complied with all 3 24 h movement behavior guidelines. Pregnant women in their second trimester, living in Al-Ahsa Governorate, and currently smoking with a bachelor’s degree were the most likely to comply with the guidelines. Conclusions: These findings underscore the need for tailored efforts to promote healthy 24 h movement behavior guidelines for pregnant women in Saudi Arabia, especially early in pregnancy, while accounting for important maternal characteristics.

Purpose: To assess the effect of low-to-moderate-intensity exercise on specific blood biomarkers and blood acidity in young Saudi Arabian professional soccer players. Methods: A total of 43 professional soccer players participated in the current study. A cross-sectional research method was used to compare the changes in the following blood biomarkers: calcium, magnesium, glucose, anion-gap metabolic acidosis, and carbon dioxide, after a range of low-to-moderate intensity training sessions. Measurements were taken in two soccer training sessions (Day 1, and Day 2). The exercise intensity was estimated by heart rate percentage of maximal heart rate. Wilcoxon signed-rank testing was used to analyze the results. Results: Significant differences were found between and pre-and post-training sessions for anion-gap metabolic acidosis: Day 1: 12.55 vs 15.4 mmol/L; Day 2: 14.15 vs 16.35 mmol/L; and magnesium: Day 1: 0.82 vs 0.74 mmol/L; Day 2: 0.85 vs 0.74 mmol/L. Exercise caused anion-gap metabolic acidosis concentrations to rise post-training; magnesium levels decreased after training sessions on Day 1 and Day 2. Conclusion: The concentrations of anion-gap metabolic acidosis and magnesium were significantly affected by exercise intensity in the subjects, the former rose post-training while the latter fell. More studies are required to investigate the effects of different exercise intensities on other blood biomarkers in soccer players.

Interleukin 6 (IL-6) is a type of interleukin that functions as both a pro-inflammatory and anti-inflammatory cytokine. It is encoded by the IL6 gene in humans. Both COVID-19 infection and S-Protein Based Vaccines for COVID-19 were found to induce the production of proinflammatory IL-6, and also, strenuous exercise was found to induce IL-6 secretion by the skeletal muscles via lactate. Exercise causes skeletal muscle cells to release IL-6, and it raises the plasma concentration of IL-6 100 times higher than at rest . Exercise-induced IL-6 release is highly correlated with exercise intensity and duration; thus, IL-6 is regarded as an energy sensor released by contracting muscles. but It was found that rare adverse effects such as myocardial infarction and coagulation abnormalities , are rarely associated with S-Protein Based Vaccines for COVID-19. Recently, it was showed in a study that most patients who experienced myocarditis after COVID-19 vaccine were young male youth aged 16 to 29 years had the highest incidence of myocarditis. Interestingly, It was observed that IL-6 was linked to adverse effects such as thrombosis and myocarditis, both of which are similar to that was caused by COVID-19 infection, and that S-Protein Based Vaccines for COVID-19. Here, we propose a testable hypothesis that strenuous exercise could be a risk and cofactor helping in the existing of these adverse effects in young people such as myocarditis and thrombosis via induction the secretion of proinflammatory IL-6. In our prospective observational study we will assess the possible correlation among the strenuous exercise , IL-6, myocarditis and thrombosis. The study will be multi-center and will involve young patient who will be vaccinated with first ,second and third dose of S-Protein Based Vaccines for COVID-19 (Moderna and Pfizer-BioNTech vaccine). Pfizer and BioNTech have successfully developed the BNT162b2 mRNA vaccine, which consists of the full-length S glycoprotein with the K986P and V987P mutation sites. Also, Moderna's mRNA-1273 vaccine contains the coding sequence for a S glycoprotein stabilized by a pair of proline substitutions (K986P/V987P), a transmembrane anchor, and an intact S1-S2 cleavage site

Background: Previous research has explored associations between accelerometry and Global Navigation Satellite System (GNSS) derived loads. However, to our knowledge, no study has investigated the relationship between these measures and a known distance. Thus, the current study aimed to assess and compare the ability of four accelerometry based metrics and GNSS to predict known distance completed using different movement constraints. Method: A correlational design study was used to evaluate the association between the dependent and independent variables. A total of 30 physically active college students participated. Participants were asked to walk two different known distances (DIST) around a 2 m diameter circle (small circle) and a different distance around an 8 m diameter circle (large circle). Each distance completed around the small circle by one participant was completed around the large circle by a different participant. The same 30 distances were completed around each circle and ranged from 12.57 to 376.99 m. Instrumentation: Acceleration data was collected via a tri-axial accelerometer sampling at 100 Hz. Accelerometry derived measures included the sum of the absolute values of acceleration (SUM), the square root of the sum of squared accelerations (MAG), Player Load (PL), and Impulse Load (IL). Distance (GNSSD) was measured from positional data collected using a triple GNSS unit sampling at 10 Hz. Results: Separate simple linear regression models were created to assess the ability of each independent variable to predict DIST. The results indicate that all regression models performed well (R = 0.960–0.999, R² = 0.922–0.999; RMSE = 0.047–0.242, p < 0.001), while GNSSD (small circle, R = 0.999, R² = 0.997, RMSE = 0.047 p < 0.001; large circle, R = 0.999, R² = 0.999, RMSE = 0.027, p < 0.001) and the accelerometry derived metric MAG (small circle, R = 0.992, R² = 0.983, RMSE = 0.112, p < 0.001; large circle, R = 0.997, R² = 0.995, RMSE = 0.064, p < 0.001) performed best among all models. Conclusions: This research illustrates that both GNSS and accelerometry may be used to indicate total distance completed while walking.