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Decisions for rural career choice and rural practice location by practicing urban background family medicine graduates are based on clinical practice considerations, training experience, as well as personal and lifestyle factors.

Decisions for rural career choice and rural practice location by practicing urban background family medicine graduates are based on clinical practice considerations, training experience, as well as personal and lifestyle factors.

From national and international workforce perspectives, Canadians studying medicine abroad (CSAs) are a growing provider group. Some were born in Canada whereas others immigrated as children. They study medicine in various countries, often attempting both American and Canadian medical licensure pathways.

Using data from the Educational Commission for Foreign Medical Graduates (ECFMG) and the Medical Council of Canada (MCC), we looked at CSAs who attempted to secure residency positions in both Canada and the United States. We detailed the CSAs' countries of birth and medical education. We tracked these individuals through their postgraduate education programs to enumerate their success rate and categorize the geographic locations of their training.

The majority of CSAs study medicine in one of 10 countries. The remainder are disbursed across 88 other countries. Most CSAs were born in Canada (62%). Approximately 1/3 of CSA from the 2004-2016 cohort had no record of entering a residency program in Canada or the United States (U.S.). Recently graduated CSAs were most likely to secure residency training in Ontario and New York.

Many CSAs attempt to secure residency training in both Canada and the U.S. Quantifying success rates may be helpful for Canadians thinking about studying medicine abroad. Understanding the educational pathways of CSAs will be useful for physician labour workforce planning.

Many CSAs attempt to secure residency training in both Canada and the U.S. Quantifying success rates may be helpful for Canadians thinking about studying medicine abroad. Understanding the educational pathways of CSAs will be useful for physician labour workforce planning.

Medical students are anxious about not getting a preferred residency position. We described elective patterns of two recent cohorts and examined associated match outcomes.

We conducted a retrospective review of the final-year electives of all students who participated in the residency match (first iteration) at one school for 2017 and 2018. We categorized elective patterns and associated them with aggregated match outcomes. We examined high-demand/low-supply (HDLS) disciplines separately.

We described three elective patterns High Dive, Parallel Plan(s), and No Clear Pattern. Many students had High Dive and Parallel Plans patterns; only a few showed No Clear Pattern. Match rates for High Dive and Parallel Plan patterns were high but many students matched to Family and Internal Medicine. When we separated out HDLS predominance, the match rate remained high but a significant number matched to disciplines in which they did not have a majority of electives. Most High Dive and Parallel Plan students who went unmatched did so with HDLS discipline electives.

Many students chose High Dive and Parallel Plan strategies to both high-capacity and HDLS disciplines. Match rates were high for both patterns but students also matched to non-primary disciplines. Back-up planning may reside in the entire application, and not just electives selection.

Many students chose High Dive and Parallel Plan strategies to both high-capacity and HDLS disciplines. Match rates were high for both patterns but students also matched to non-primary disciplines. Back-up planning may reside in the entire application, and not just electives selection.

A possible relationship between sleep bruxism (SB) and several sleep disorders has been suggested in children, which could influence sleep quality and quality of life. This study aims to assess such correlations in a large sample of school children.

Parents of 741 consecutive children aged between 8 and 12 years filled the Sleep Disturbance Scale for Children (SDSC). It evaluated 45 items grouped in 8 components duration of night-time sleep, sleep latency, bedtime problems, sleep quality, night awakenings, nocturnal symptoms, morning symptoms, and daytime sleepiness. An item evaluating parental-reported tooth grinding was also included. SBE-β-CD manufacturer Correlation analysis was performed between parental-reported tooth grinding and all the other items.

A significant correlation between parental-reported tooth grinding and several sleep disorders concerning bedtime problems, night awakenings, nocturnal symptoms, and morning symptoms has been found. In general, correlation strength of significant pairs was low, ranging from 0.092 (sleep apnea) to 0.234 (movement while falling asleep).

Parental-reported tooth grinding in children is correlated, even if weakly, with some sleep disorders concerning the sphere of bedtime problems, night awakenings, nocturnal symptoms, breathing symptoms, and morning symptoms. Further studies are needed to confirm these findings, with particular regard to the consistency of correlation outcomes between the parental reports and the sleep laboratory measures.

Parental-reported tooth grinding in children is correlated, even if weakly, with some sleep disorders concerning the sphere of bedtime problems, night awakenings, nocturnal symptoms, breathing symptoms, and morning symptoms. Further studies are needed to confirm these findings, with particular regard to the consistency of correlation outcomes between the parental reports and the sleep laboratory measures.

We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity.

We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment Center of Changsha from January 30, 2020, to February 19, 2020. According to the clinical classification of the disease, the patients were divided into severe and nonsevere groups. General clinical data and underlying medical conditions were recorded through the electronic medical record (EMR) system. Laboratory examination results of the patients during their hospitalization were collected, including the first results for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), peripheral blood lymphocyte ratio and count, and peripheral blood white blood cell (WBC) count. Univariate and multivariate logistic regression models were used to analyze the predictive effectiveness of blood biochemical indexes and other related factors for COVID-19 severity.

In all, 108 COVID-19 patients (median age 43.