PURPOSE: With a sample of cognitively impaired nursing home residents and nursing staff, the following were examined 1) the proportion and nature of aggressive behavior, 2) the frequency and types of aggressive behavior, 3) the difference between the residents who demonstrate aggressive behavior and those who do not demonstrate aggressive behavior (age, mental status, functional status, and pain, length of nursing home stay), and 4) nursing staff responses to aggressive behavior by residents. METHODS: A cross-sectional descriptive study design was used. Data were collected from cognitively impaired nursing home residents (N=205) and nursing staff (N=60) at two nursing homes using Ryden Aggression Scale I and II, Mini-Mental State Exam, Modified Barthel Index, Verbal Descriptor Scale, and aggressive behavior management questionnaire. Data were analyzed using descriptive statistics including t-test. RESULTS: About 62.9% residents were found to be aggressive and 38.5% were both physically and verbally aggressive. Pushing, making threatening gestures, hitting, slapping, cursing/obscene/vulgar languages, making verbal threats were occurred frequently. Aggressive residents were significantly older, had more cognitive impairment, had more pain, and stayed longer in the nursing home when compared with non-aggressive residents. Considerable proportion of nursing staff responded to aggressive behaviors inadequately. CONCLUSION: Aggressive behavior among cognitively impaired nursing home residents is prevalent thus needs to be prevented and reduced. Along with environmental modification, educational programs for nursing staff and family caregivers need to be developed and implemented so that they can have extensive knowledge and skills to manage aggressive behaviors.
Aged ; Aged, 80 and over ; *Aggression/psychology ; Attitude of Health Personnel ; Case-Control Studies ; Clinical Competence/standards ; Cognition Disorders/*complications/nursing ; Cross-Sectional Studies ; Education, Nursing, Continuing ; Female ; Geriatric Assessment ; Geriatric Nursing/education/organization & administration ; Health Services Needs and Demand ; Humans ; Inservice Training ; Korea/epidemiology ; Male ; Mental Competency ; *Nursing Homes ; Nursing Staff/education/psychology ; Prevalence ; Psychomotor Agitation/epidemiology/*etiology/prevention & control/psychology ; Questionnaires ; Risk Factors

Objective: To evaluate the trueness and precision of full-arch scans acquired using five intraoral scanners and investigate the factors associated with the dimensional accuracy of the intraoral scan data. Methods: Nine adult participants (mean age, 34.3 ± 8.3 years) were recruited. Four zirconium spheres (Ø 6 mm) were bonded to the canines and the molars. Following acquisition of reference scans using an industrial-grade scanner, five intraoral scanners, namely i500, CS3600, Trios 3, iTero, and CEREC Omnicam, were used to scan the arches. Linear distances between the four reference spheres were automatically calculated, and linear mixed model analysis was performed to compare the trueness and precision of the intraoral scan data among the different scanners. Results: The absolute mean trueness and precision values for all intraoral scanners were 76.6 ± 79.3 and 56.6 ± 52.4 µm, respectively. The type of scanner and the measured linear distances had significant effects on the accuracy of the intraoral scan data. With regard to trueness, errors in the intermolar dimension and the distance from the canine to the contralateral molar were greater with Omnicam than with the other scanners. With regard to precision, the error in the linear distance from the canine to the molar in the same quadrant was greater with Omnicam and CS3600 than with the other scanners. Conclusions The dimensional accuracy of intraoral scan data may differ significantly according to the type of scanner, with the amount of error in terms of trueness being clinically significant.

Objective: To evaluate the trueness and precision of full-arch scans acquired using five intraoral scanners and investigate the factors associated with the dimensional accuracy of the intraoral scan data. Methods: Nine adult participants (mean age, 34.3 ± 8.3 years) were recruited. Four zirconium spheres (Ø 6 mm) were bonded to the canines and the molars. Following acquisition of reference scans using an industrial-grade scanner, five intraoral scanners, namely i500, CS3600, Trios 3, iTero, and CEREC Omnicam, were used to scan the arches. Linear distances between the four reference spheres were automatically calculated, and linear mixed model analysis was performed to compare the trueness and precision of the intraoral scan data among the different scanners. Results: The absolute mean trueness and precision values for all intraoral scanners were 76.6 ± 79.3 and 56.6 ± 52.4 µm, respectively. The type of scanner and the measured linear distances had significant effects on the accuracy of the intraoral scan data. With regard to trueness, errors in the intermolar dimension and the distance from the canine to the contralateral molar were greater with Omnicam than with the other scanners. With regard to precision, the error in the linear distance from the canine to the molar in the same quadrant was greater with Omnicam and CS3600 than with the other scanners. Conclusions The dimensional accuracy of intraoral scan data may differ significantly according to the type of scanner, with the amount of error in terms of trueness being clinically significant.

Glucocorticoids suppress the vascular inflammation that occurs under hypercholesterolemia, as demonstrated in an animal model fed a high-cholesterol diet. However, the molecular mechanisms underlying these beneficial effects remain poorly understood. Because cholesterol is oxidized to form cholesterol oxides (oxysterols) that are capable of inducing inflammation, we investigated whether glucocorticoids affect the immune responses evoked by 7α-hydroxycholesterol (7αOHChol). The treatment of human THP-1 monocytic cells with dexamethasone (Dex) and prednisolone (Pdn) downregulated the expression of pattern recognition receptors (PRRs), such as TLR6 and CD14, and diminished 7αOHCholenhanced response to FSL-1, a TLR2/6 ligand, and lipopolysaccharide, which interacts with CD14 to initiate immune responses, as determined by the reduced secretion of IL-23 and CCL2, respectively. Glucocorticoids weakened the 7αOHChol-induced production of CCL2 and CCR5 ligands, which was accompanied by decreased migration of monocytic cells and CCR5-expressing Jurkat T cells. Treatment with Dex or Pdn also reduced the phosphorylation of the Akt-1 Src, ERK1/2, and p65 subunits. These results indicate that both Dex and Pdn impair the expression of PRRs and their downstream products, chemokine production, and phosphorylation of signaling molecules. Collectively, glucocorticoids suppress the innate immune response and activation of monocytic cells to an inflammatory phenotype enhanced or induced by 7αOHChol, which may contribute to the anti-inflammatory effects in hypercholesterolemic conditions.

A yeast strain, designated as JAF-11 T , was isolated from flower ofPrunus mume Sieb. et Zucc. in Gwangyang, Republic of Korea. Phylogenetic analysis showed that strain JAF-11 T was closely related to Neodothiora populina CPC 39399 T with 2.07 % sequence divergence (12 nucleotide substitutions and three gaps in 581 nucleotides) in the D1/D2 domain of the large subunit (LSU) rRNA gene, and Rhizosphaera macrospora CBS 208.79 T with 4.66 % sequence divergence (25 nucleotide substitutions and five gaps in 535 nucleotides) in the internal transcribed spacer (ITS) region. Further analysis based on the concatenated sequen ces of the D1/D2 domain of the LSU rRNA gene and the ITS region confirmed that strain JAF-11 T was well-separated from Neodothiora populina CPC 39399 T . In addition to the phylo genetic differences, strain JAF-11 T was distinguished from its closest species, Neodothiora populina CPC 39399 T and Rhizosphaera macrospora CBS 208.79 T belonging to the family Dothioraceae by its phenotypic characteristics, such as assimilation of carbon sources. Hence, the name Neodothiora pruni sp. nov. is proposed with type strain JAF-11 T (KACC 48808 T ; MB 850034).