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nded.
Opportunities and barriers for occupational engagement among residents in supported housing.
Research shows that people with psychiatric disabilities view supported housing (SH) as a possibility for social contact, but also as entailing a risk of deprived self-determination. There is, however, little research on the target group's engagement in everyday occupations.
To explore SH residents' opportunities and barriers for occupational engagement.
Sixteen participants were interviewed, and data was analysed using content analysis.
An overarching theme,
, and three underlying categories, emerged.
focussed on receiving support, doing self-chosen occupations, and having social contacts.
was related to feelings of not being seen by staff, and insecurity, which hampered daily life. The third theme was
.
Residents' self-view and ability to create an inner drive for being active was important for occupational engagement, which was linked to social connectedness. Occupational based interventions and a personal recovery approach is warranted in order to facilitate needs for meaningful occupations.
The results from the study can be used to further develop optimal support within SH units.
The results from the study can be used to further develop optimal support within SH units.
The thickened coracohumeral ligament (CHL) is an important part of the typical manifestations and magnetic resonance imaging of frozen shoulder. However, only a few clinical studies with limited cases on arthroscopic extra-articular entire CHL release exist in the literature. This study was to evaluate the effect of arthroscopic extra-articular entire CHL release for patients with recalcitrant frozen shoulder.
From February 2014 to February 2020, 81 cases of recalcitrant frozen shoulder patients treated with surgery in a single-center shoulder department and followed for more than 2 years were analyzed. Arthroscopic 360° capsular release was performed with intra-articular partial release (IPR group) or additional extra-articular entire release (IPR + EER group) of CHL. The same rehabilitation program was performed after surgery in both groups. Visual analogue scale (VAS) for pain, range of motion (ROM), and the Constant-Murley scoring system was evaluated before operation, at 3 months after operation, 6 mnificant difference in forward flexion, internal rotation, and abduction of ROMs, VAS, and the Constant-Murley shoulder score between the IPR and IPR + EER groups. The external rotation of the IPR + EER group was still greater than that of the IPR group at the last follow-up (P < 0.001).
Arthroscopic extra-articular entire coracohumeral ligament release could solve early pain of shoulder joint, recover shoulder joint functions effectively, and achieve a satisfactory efficacy in the treatment of recalcitrant frozen shoulder.
Arthroscopic extra-articular entire coracohumeral ligament release could solve early pain of shoulder joint, recover shoulder joint functions effectively, and achieve a satisfactory efficacy in the treatment of recalcitrant frozen shoulder.
A substantial volume of the literature suggests that religious factors buffer against alcohol/substance use among adults, but research among adolescents is sparse. Further, few studies in this area have been prospective, and therefore it is unclear how religion may impact less alcohol/substance use among adolescents.
We prospectively evaluated effects of religious affiliation on initiation of alcohol/substance use in a sample of 81 psychiatrically healthy 13-14-year-olds from New England, over a 3-year period (from November 2015 to January 2019). Known risk factors were also evaluated including anxiety, depression, and impulsivity; family history of mental illness and alcohol/substance misuse; and volume of brain regions implicated in adolescent alcohol/substance misuse (assessed by Magnetic Resonance Imaging).
Religiously affiliated adolescents were significantly less likely to initiate use of alcohol/substances (hazard ratio [HR] = 0.38). The addition of family history of alcohol/substance misuse to the model increased the predictive value of religious affiliation (HR = 0.34). Other risk factors did not diminish nor increase observed effects.
These findings support and extend the current research by suggesting that religious affiliation protects against initiation of alcohol/substance use during early adolescence, particularly in individuals with elevated risk.
These findings support and extend the current research by suggesting that religious affiliation protects against initiation of alcohol/substance use during early adolescence, particularly in individuals with elevated risk.Accurate crash frequency prediction is critical for proactive safety management. The emerging connected vehicles technology provides us with a wealth of vehicular motion data, which enables a better connection between crash frequency and driving behaviors. However, appropriately dealing with the spatial dependence of crash frequency and multitudinous driving features has been a difficult but critical challenge in the prediction process. To this end, this study aims to investigate a new Artificial Intelligence technique called Geographical Random Forest (GRF) that can address spatial heterogeneity and retain all potential predictors. By harnessing more than 2.2 billion high-resolution connected vehicle Basic Safety Message (BSM) observations from the Safety Pilot Model Deployment in Ann Arbor, MI, 30 indicators of driving volatility are extracted, including speed, longitudinal and lateral acceleration, and yaw rate. The developed GRF was implemented to predict rear-end crash frequency at intersections. The results show that 1) rear-end crashes are more likely to happen at intersections connecting minor roads compared to major roads; 2) a higher number of hard acceleration and deceleration events beyond two standard deviations in the longitudinal direction is a leading indicator of rear-end crashes; 3) the optimal GRF significantly outperforms Global Random Forest, with a 9% lower test error and a substantially better fit; and 4) geographical visualization of variable importance highlights the presence of spatial non-stationarity. The proposed framework can proactively identify at-risk intersections and alert drivers when leading indicators of driving volatility tend to worsen.The fundamental matters of how traffic conflicts are connected to crashes and how to estimate this connection with traffic conflict data is an active subject of research and refinements. There are still open questions about traffic events that can be analytically extrapolated to related crashes, and how to efficiently estimate the probability of crash associated with such events to enable conversion of observed events to the corresponding expected number of crashes. There are two important uses of a working estimation method (1) rapid assessment of safety at specific roads locations and evaluation of countermeasures by safety engineers, (2) modeling of safety effects by analysts based on relatively short observations at multiple locations or at limited number of locations but during extended periods. This paper focuses on the application of traffic conflicts by safety engineers where the method practicality is important. The paper first recalls the OLS method of estimating the shape parameter of the underlying Lomax distribution proposed in (Tarko, 2018). Then, the ML method is introduced and the Lomax-based crash estimates obtained with the two methods are compared. Both the methods assume the scale parameter to estimate the shape parameter. The effect of assuming the scale parameter on estimates of the expected number of crashes is evaluated. To bring the scale parameter's effect into a meaningful perspective, it is compared to two other effects (1) type of driver, and (2) limited number of observations. Finally, re-parametrized Lomax distribution is pointed out as a potential way to address the difficulties with estimating the two distribution parameters simultaneously. The summary of the results closes the paper.The pathophysiological progress of Parkinson's disease leads through degeneration of dopaminergic neurons in the substantia nigra to complete cell death and lack of dopamine in the striatum where it modulates motor functions. Transplantation of dopaminergic stem cell-derived neurons is a possible therapy to restore dopamine levels. We have previously presented multifunctional pyrolytic carbon coated leaky optoelectrical fibers (LOEFs) with laser ablated micro-optical windows (µOWs) as carriers for channelrhodopsin-2 modified optogenetically active neurons for light-induced on-demand dopamine release and amperometric real-time detection. To increase the dopamine release by stimulating a larger neuronal population with light, we present here a novel approach to generate µOWs through laser ablation around the entire circumference of optical fibers to obtain Omni-LOEFs. Cyclic voltammetric characterization of the pyrolytic carbon showed that despite the increased number of µOWs, the electrochemical properties were not deteriorated. Finally, we demonstrate that the current recorded during real-time detection of dopamine upon light-induced stimulation of neurons differentiated on Omni-LOEFs is significantly higher compared to recordings from the same number of cells seeded on LOEFs with µOWs only on one side. Moreover, by varying the cell seeding density, we show that the recorded current is proportional to the dimension of the cell population.
Nonalcoholic fatty liver disease (NAFLD), the most common liver disease in children, is strongly associated with obesity and insulin resistance. Although type 1 diabetes (T1D) is characterized by insulin deficiency, increasing obesity rates among children with T1D is a major risk factor for NAFLD in this patient population. Predisposing factors for NAFLD in children with T1D are not known.
This is a cross-sectional study comparing children with T1D across the range of body mass index (BMI) to the BMI-matched obese group without T1D. Hepatic steatosis was semi-quantitatively measured via the vibration-controlled transient elastogram (VCTE) method. Linear regression analysis was performed to assess the relationship between controlled-attenuated parameter (CAP) scores and clinical parameters. Receiver-operator curve (ROC) analysis was used to evaluate the diagnostic performance of several clinical parameters against NAFLD status determined via CAP.
Two-thirds of subjects with obesity had CAP scores suggestren with T1D and obesity are comparable to non-diabetic children with a similar degree of obesity. Obesity is the major risk factor for NAFLD in pediatric T1D. BMI, HDL-c, and BMI/HDL ratio may be helpful markers to determine further workup for NAFLD in children with T1D, particularly those with obesity.Diabetes mellitus is the leading disorder and affects more than millions of people worldwide. Nowadays, the usage of herbal drugs is said to control adiposity and hyperglycemia. The current research investigated the anti-adiposity and antidiabetic activity of S. saman leaf extract and bioactive compounds. Adenine sulfate supplier Therefore, the results lower the sugar absorption into the blood and reveal the extract's antidiabetic properties. STZ-induced diabetic rats, Samanea saman methanolic extract show improvement in the parameters like fasting blood glucose levels, body weight, other biochemical parameters supported by the histopathological analysis, and an increase in serum levels in the experimental groups. The antioxidant plays a vital role by increasing SOD and catalase activity levels and decreasing lipid peroxidation levels. The methanolic extract protects the tissue from oxidation stress, which is responsible for the glycemic properties. According to the findings, diabetic-treated rats had overnight blood glucose levels lower and near standard biochemical markers.
