The IOC was 0.95. The interrater ICC between expert and novice physical therapists was 0.92 (95% CI = 0.88-0.95). The intrarater ICC of novice physical therapist was 0.91 (95% CI = 0.86-0.94).

The Thai version of the screening tool for patients with lumbar instability achieved excellent content validity and interrater and intrarater reliability. This screening tool is recommended for use with Thai patients with low back pain to identify the subpopulation with lumbar instability.

The Thai version of the screening tool for patients with lumbar instability achieved excellent content validity and interrater and intrarater reliability. This screening tool is recommended for use with Thai patients with low back pain to identify the subpopulation with lumbar instability.

The purpose of this study was to analyze the morphometric effects of mechanical vibration with a duration of 4 or 8 weeks on the femur of oophorectomized Wistar rats.

Sixty-four female rats were submitted to oophorectomy or a sham operation, and each of those 2 groups were randomized into 4 groups untreated and euthanized at week 12, untreated and euthanized at week 16, treated for 4 weeks and euthanized at week 12, and treated for 8 weeks and euthanized at week 16. The vibration treatment was performed for 10 min/d, with a frequency of 60 Hz, 3 d/wk. The rats were then euthanized and the right femur dissected. Subsequently, histomorphometric analysis was performed on the proximal epiphysis and diaphysis of the spongy and cortical bone, respectively.

As expected, the oophorectomy groups presented reduction of spongy and cortical bone tissue. Further, the vibration therapy of 4 and 8 weeks’ duration in the oophorectomized groups led to increased bone mass, observed as an increased percentage of spongy tissue, and increased thickness and percentage of cortical tissue. However, the variables of femoral neck diameter, mean area of the shaft, and number of osteocytes were not altered by oophorectomy and vibration.

The mechanical vibration was effective in increasing the bone mass of the femur of oophorectomized Wistar rats, observed by increasing the percentage of spongy bone and increasing the percentage and thickness of cortical bone.

The mechanical vibration was effective in increasing the bone mass of the femur of oophorectomized Wistar rats, observed by increasing the percentage of spongy bone and increasing the percentage and thickness of cortical bone.The genomes of mammalian neurons are enriched for unique forms of DNA methylation, including exceptionally high levels of non-CG methylation. Here, we review recent studies defining how non-CG methylation accumulates in neurons and is read out by the critical regulator of neuronal transcription, MeCP2. We discuss the role of gene expression and genome architecture in establishing non-CG methylation and highlight emerging mechanistic insights into how non-CG methylation and MeCP2 control transcription. Further, we describe the cell type-specific functions of this methylation and explore growing evidence that disruption of this regulatory pathway contributes to neurodevelopmental disorders. learn more These findings uncover how the distinctive epigenome in neurons facilitates the development and function of the complex mammalian brain.

To compare macular layer thicknesses between early glaucoma, ocular hypertension, and healthy eyes and to evaluate the accuracy of spectralis optical coherence tomography (OCT) segmentation software in discriminating early glaucoma from ocular hypertension and healthy eyes.

OCT scans were performed using the standard macular and peripapillary retinal nerve fiber layer (pRNFL) protocols on the Spectralis-OCT. The following macular thickness parameters were compared in the inner and outer circles of the Early Treatment Diabetic Retinopathy Study total macular thickness (MT), retinal nerve fiber layer (mRNFL), ganglion cell layer (mGCL), inner plexiform layer (mIPL), inner nuclear layer (mINL), outer plexiform layer (mOPL), outer nuclear layer (mONL) and ganglion cell complex (mGCC sum of mRNFL, mGCL, and mIPL). Sectors and layers with the best area under the receiver operating characteristic curve (AUC) were determined and compared between groups.

Of a total of 200 eyes included in this study, 64 eyes had primary open angle glaucoma, 69 had ocular hypertension, and 67 were healthy. Peripapillary RNFL was significantly thinner in the early glaucoma group (P<0.05). For the macular variables, there was a significant reduction in the MT, mGCC, mRNFL, mGCL, and mIPL thicknesses in the early glaucoma group; while there were no statistically significant differences between the ocular hypertension and control groups (P>0.05). For distinguishing early glaucoma from normal eyes, AUCs for mGCC, mGCL, and mRNFL were similar to the pRNFL; and for early glaucoma and ocular hypertension, AUCs for mGCC, mGCL mRNF and mIPL were comparable to the pRNFL.

Macular segmentation can assist in the early diagnosis of glaucoma as a complementary study to pRNFL analysis.

Macular segmentation can assist in the early diagnosis of glaucoma as a complementary study to pRNFL analysis.

To identify which unit types are most sensitive to nurse staffing levels.

Collection of secondary data took place from March to July 2016. For our study, we analyzed administrative hospital claims data and self-reported structural data from hospitals in Germany. We used 26,502,579 admissions nested in 13,089 units in 3,680 hospitals from 2012 to 2014.

We used regression analysis to examine the relationship between 11 established nursing-sensitive outcomes (NSOs) and nurse-to-patient ratios on a unit level. Nurse-to-patient ratios were our key explanatory variable. We conducted separate OLS regressions for each NSO in each unit type using linear and non-linear terms.

We linked hospital claims data with self-reported structural data from hospitals from 2012 to 2014.

We identified 15 unit types with at least one significant NSO. The effect of potential understaffing on NSOs depends on the unit type.

Our study indicates that the relationship between nurse staffing levels and NSOs varies greatly depending on the unit type concerning both significance and magnitude.