Notes

A story overview of the disparities associated with cancerous pleural asbestos.
There is limited information available regarding the management of multisystem inflammatory syndrome in children (MIS-C) associated with SARS-CoV-2. We performed a systematic review and meta-analysis to evaluate the optimal treatment using IVIG alone versus IVIG plus glucocorticoids.

PubMed, Google Scholar, EMBASE, and Cochrane databases were searched along with other secondary searches. Studies published within the time frame of January 2020 to August 2021 were included. We screened records, extracted data, and assessed the quality of the studies using NOS. Studies that directly compare the two treatment groups were included. Analyses were conducted using the random-effects model (DerSimonian-Laird analysis) if

 > 50% and fixed-effects model was used if

 < 50%.

We included three studies in the final quantitative analysis. The initial therapy with the IVIG plus glucocorticoids group significantly lowered the risk of treatment failure (OR 0.57, 95% CI (0.42, 0.79),

45.36%) and the need for adjunctive immunomodulatory therapy (OR 0.27, 95% CI (0.20, 0.37),

0.0%). The combination therapy showed no significant reduction in occurrence of left ventricular dysfunction (OR 0.79, 95% CI (0.34, 1.87),

58.44%) and the need for inotropic support (OR 0.83, 95% CI (0.35, 1.99),

75.40%).

This study supports the use of IVIG with glucocorticoids compared to IVIG alone, as the combination therapy significantly lowered the risk of treatment failure and the need for adjunctive immunomodulatory therapy.
This study supports the use of IVIG with glucocorticoids compared to IVIG alone, as the combination therapy significantly lowered the risk of treatment failure and the need for adjunctive immunomodulatory therapy.By studying the distribution and drug resistance of bacterial pathogens associated with lower respiratory tract infection (LRTI) in children in Chengdu and the effect of the COVID-19 on the distribution of pathogens and by analyzing the epidemic trend and drug resistance changes of the main pathogens of LRTI, this research is supposed to provide a useful basis for the prevention of LRTI in children and the rational use of drugs in clinical practice. Hospitalized children clinically diagnosed with LRTI in Chengdu Women and Children's Central Hospital from 2011 to 2020 were selected as the study subjects. The pathogens of LRTI in children and the distribution of pathogens in different ages, genders, seasons, years, and departments and before and after the pandemic situation of COVID-19 were counted. The drug resistance distribution of the top six pathogens with the highest infection rate in the past three years and the trend of drug resistance in the past decade were analyzed. A total of 26,469 pathogens were i by pediatricians is conducive to the diagnosis of respiratory tract infections caused by different pathogens, contributing to the selection of effective drugs for treatment according to drug susceptibility results, which is important for the rational use of antibiotics and curbing bacterial resistance.
Exercise-induced cardiac remodelling (EICR) results from the structural, functional and electrical adaptations to exercise. Despite similar sports participation, EICR varies and some athletes develop phenotypic features that overlap with cardiomyopathies. Training load and genotype may explain some of the variation; however, exercise 'dose' has lacked rigorous quantification. Few have investigated the association between EICR and genotype.

(1) To identify the impact of training load and genotype on the variance of EICR in elite endurance athletes and (2) determine how EICR and its determinants are associated with physical performance, health benefits and cardiac pathology.

The Pro@Heart study is a multicentre prospective cohort trial. Three hundred elite endurance athletes aged 14-23 years will have comprehensive cardiovascular phenotyping using echocardiography, cardiac MRI, 12-lead ECG, exercise-ECG and 24-hour-Holter monitoring. Genotype will be determined using a custom cardiomyopathy gene panel and high-density single-nucleotide polymorphism arrays. Follow-up will include online tracking of training load. Cardiac phenotyping will be repeated at 2, 5, 10 and 20 years.

The primary endpoint of the Pro@Heart study is the association of EICR with both training load and genotype. The latter will include rare variants in cardiomyopathy-associated genes and polygenic risk scores for cardiovascular traits. Secondary endpoints are the incidence of atrial and ventricular arrhythmias, physical performance and health benefits and their association with training load and genotype.

The Pro@Heart study is the first long-term cohort study to assess the impact of training load and genotype on EICR.

NCT05164328; ACTRN12618000716268.
NCT05164328; ACTRN12618000716268.Measuring physical activity is a critical issue for our understanding of the health benefits of human movement. Machine learning (ML), using accelerometer data, has become a common way to measure physical activity. ML has failed physical activity measurement research in four important ways. First, as a field, physical activity researchers have not adopted and used principles from computer science. Benchmark datasets are common in computer science and allow the direct comparison of different ML approaches. Access to and development of benchmark datasets are critical components in advancing ML for physical activity. Second, the priority of methods development focused on ML has created blind spots in physical activity measurement. Methods, other than cut-point approaches, may be sufficient or superior to ML but these are not prioritised in our research. Third, while ML methods are common in published papers, their integration with software is rare. Physical activity researchers must continue developing and integrating ML methods into software to be fully adopted by applied researchers in the discipline. Finally, training continues to limit the uptake of ML in applied physical activity research. We must improve the development, integration and use of software that allows for ML methods' broad training and application in the field.In response to the COVID-19 pandemic, governments enacted a range of public health measures aimed at preventing the spread of the virus. These measures resulted in school closures, social isolation, and job loss, which all contributed to increased psychosocial stress, particularly among families with pre-existing vulnerability factors. Given the relationship between increased psychosocial stress and intimate partner violence (IPV), this rapid review investigated change in the prevalence and correlates of IPV victimization during the first six months of the pandemic. PsycINFO, MEDLINE, Embase, PubMed, Scopus, and the Cochrane COVID-19 registry were reviewed. This search resulted in 255 unique results, of which 24 studies were included. There were 19 studies that examined changes in the rate of IPV from before the COVID-19 pandemic to during the pandemic. Of the studies examining changes in the rate of IPV, 11 found a significant increase. Key vulnerability factors contributing to the increase include low socioeconomic status, unemployment, a personal or familial COVID-19 diagnosis, family mental illness, or overcrowding. Six studies examined whether the presence of children in the home was associated with IPV, but the direction of this relationship was inconsistent. This review finds preliminary evidence of a relationship between COVID-19 induced stressors, pre-existing vulnerabilities, and increased IPV, which present important implications for policy and practice.A great body of literature has documented that adverse childhood experiences (ACEs) are related to individuals' psychological functioning and mental health. However, the majority of ACE studies focus on psychological dysfunction and less is known about how ACEs are associated with other positive psychological outcomes, including resilience. The current study assessed the relationship between ACEs and resilience, using a sample of college students in China. We hypothesized that college students who had ACEs would have lower levels of resilience. this website Data came from 1,871 college students from twelve colleges in China through an anonymous online survey between late September and early October 2020. Linear regression analyses were conducted. Aligned with our hypotheses, ACEs had a negative association with individuals' resilience. Despite several limitations, this study found a negative association between ACEs and college students' resilience. Preventive services and interventions are in need to protect individuals from ACEs.Green open space (GOS) is an important outdoor resource for the well-being of children by providing places for physical activity (PA), especially in the highly urbanized environment. The COVID-19 lockdowns have made children have more sedentary time than before due to less access to public places. This article aims to examine the associations of GOS characteristics (environmental and surrounding) and children's use (visitation and PA pattern) to provide evidence for promoting their PA during the pandemic. This study employed the method of GPS positioner, accelerometer, and survey to measure the children's actual use in GOS. A total of 179 children participated in the study and 10 GOSs were selected. The children were provided with the accelerometers and GPS positioners to track their walking steps, duration, and locations. The environmental characteristics and 1 km buffer of the selected GOSs were explored as extended study area. Results showed that 49.16% of children reported more visitations than before theeristics could be an effective solution to respond the challenge from the pandemic, and promote their visitation and PA.Type 2 diabetes (T2D) is a critical Indigenous health inequity rooted in experiences of colonization and marginalization including disproportionate exposure to stressors, disruption of traditional family and food systems, and attacks on cultural practices that have led to more sedentary lifestyles. Thus, an important step in redressing inequities is building awareness of and interventions attuned to unique Indigenous contexts influencing T2D and Indigenous culture as a pathway to community wellbeing. Using a dynamic, stage-based model of intervention development and evaluation, we detail the creation and evolution of a family-based, culturally centered T2D preventive intervention Together on Diabetes (later Together Overcoming Diabetes) (TOD). The TOD program was built by and for Indigenous communities via community-based participatory research and has been implemented across diverse cultural contexts. The TOD curriculum approaches health through a holistic lens of spiritual, mental, physical and emotional wellness. Preliminary evidence suggests TOD is effective in reducing diabetes risk factors including lowering BMI and depressive symptoms, and the program is viewed favorably by participants and community members. We discuss lessons learned regarding collaborative intervention development and adaptation across Indigenous cultures, as well as future directions for TOD.
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