scholarly journals Nurses' exposure to verbal abuse at a university hospital in Crete, Greece

2021 ◽  
Author(s):  
Nikos Rikos ◽  
Demetra Telli ◽  
Athanasia Hatzinikolaou ◽  
Demetra Mantikou ◽  
Michael Rovithis ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Mean Value ◽  
Verbal Abuse ◽  
University Hospital ◽  
The Mean ◽  
Almost All

Background & Aim: The current study aimed to investigate workplace bullying, specifically verbal abuse of working nurses, and its consequences on the physical and psychological levels. Methods & Materials: A cross-sectional study was designed and implemented in 151 nurses working at a university hospital. The survey was conducted in 2018 at a university hospital in Greece, and the Verbal Abuse Scale (G-AVQ v.0/2015) was used to assess the verbal abuse level. Multiple linear regression analysis was applied, and distributions were tested for their symmetry using Blom's method (QQ plot). Results: 88.1% were women as the mean age of all was 41.7 years and 16.1 years the mean length of employment. Almost all nurses (94.7%) reported experiencing verbal abuse, as 77.6% reported that the perpetrator was a patient's relative (p<0.05). Among cognitive assessment, coping, severity of effects, and strength of feeling, coping had the highest mean value the highest mean value, while severity of effects had the lowest (2.52 vs. 1.83, p<0.05). Multiple linear regression analysis showed that frequency of verbal abuse type has a significant correlation with higher coping (β=0.28, p=0.007) and strength of feeling values (β=0.29, p=0.010). Similarly, the severity of verbal abuse type has a significant correlation with higher strength of feeling values (β=0.30, p=0.014). Conclusion: Almost all the nurses reported experiencing verbal abuse as the 'patients' relatives were the main perpetrators. Although the nurses seem to cope with verbal abuse successfully, this fact is described as stressful. Moreover, the frequency, severity of verbal abuse, and consequences are correlated to the emotions that arise from it.

scholarly journals Effect of Opioid Limiting Legislation on Postoperative Opioid Utilization in Patients Treated for Ankle Fractures

2020 ◽  
Vol 5 (4) ◽  
pp. 247301142093950
Author(s):  
Connor G. Hoge ◽  
Robert N. Matar ◽  
Colin D. F. Cotton ◽  
Michael G. Rubeiz ◽  
Tonya L. Dixon ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Postoperative Period ◽  
Injury Severity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Ankle Fractures ◽  
Level Of Evidence ◽  
The Mean

Background: The state of Ohio implemented legislation in August of 2017 limiting the quantity of opioids a provider could prescribe. The purpose of this study was to identify if implementation of legislation affected opioid and nonopioid utilization in patients operatively treated for ankle fractures in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. Methods: A retrospective review of 144 patients treated for isolated ankle fractures in a pre-law group (January 2017–July 2017; n = 73) and post-law group (January 2018–July 2018; n = 71) was completed using electronic medical records and a legal prescriber database. Total number of opioid prescriptions, pills, milligrams of morphine equivalents (MMEs), and nonopioid prescriptions were recorded. Multiple regression analysis was run to identify predictors of opioid prescribing after controlling for law group, demographic, preoperative narcotic use, and injury severity characteristics. Results: Mean MME prescribed per patient significantly decreased from 817.2 MME pre-law to 380.9 post-law ( P < .01). Mean number of opioid pills prescribed per patient decreased from 99.1 in the pre-law group and 55.3 in the post law group ( P < .001), respectively. Multiple linear regression analysis to predict the mean number of opioid pills prescribed was statistically significant ( R 2 = 0.33; P < .001), with law group adding significantly to the prediction ( P < .001). The multiple linear regression analysis to predict MME per patient was found to be statistically significant ( R 2 = 0.31; P < .001), with the law group contributing significantly ( P < .001). Conclusion: The Ohio prescriber law successfully contributed to the decreased number of opioid pills and MME prescribed in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. Policies on opioid prescriptions may serve as an important public health tool in the fight against the opioid epidemic. Level of Evidence: Level III, retrospective comparative series.

scholarly journals The impact of emphysema on dosimetric parameters for stereotactic body radiotherapy of the lung

2016 ◽  
Vol 57 (5) ◽  
pp. 555-566 ◽  
Author(s):  
Satoru Ochiai ◽  
Yoshihito Nomoto ◽  
Yasufumi Yamashita ◽  
Tomoki Inoue ◽  
Shuuichi Murashima ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Conformity Index ◽  
Severe Emphysema ◽  
The Mean ◽  
The Impact ◽  
Significant Factors

Abstract The purpose of this study was to evaluate the impact of emphysematous changes in lung on dosimetric parameters in stereotactic body radiation therapy (SBRT) for lung tumor. A total of 72 treatment plans were reviewed, and dosimetric factors [including homogeneity index (HI) and conformity index (CI)] were evaluated. Emphysematous changes in lung were observed in 43 patients (60%). Patients were divided into three groups according to the severity of emphysema: no emphysema ( n = 29), mild emphysema ( n = 22) and moderate to severe emphysema groups ( n = 21). The HI ( P &lt; 0.001) and the CI ( P = 0.029) were significantly different in accordance with the severity of emphysema in one-way analysis of variance (ANOVA). The HI value was significantly higher in the moderate to severe emphysema group compared with in the no emphysema (Tukey, P &lt; 0.001) and mild emphysema groups ( P = 0.002). The CI value was significantly higher in the moderate to severe emphysema group compared with in the no emphysema group ( P = 0.044). In multiple linear regression analysis, the severity of emphysema ( P &lt; 0.001) and the mean material density of the lung within the PTV ( P &lt; 0.001) were significant factors for HI, and the mean density of the lung within the PTV ( P = 0.005) was the only significant factor for CI. The mean density of the lung within the PTV was significantly different in accordance with the severity of emphysema (one-way ANOVA, P = 0.008) and the severity of emphysema ( P &lt; 0.001) was one of the significant factors for the density of the lung within the PTV in multiple linear regression analysis. Our results suggest that emphysematous changes in the lung significantly impact on several dosimetric parameters in SBRT, and they should be carefully evaluated before treatment planning.

scholarly journals Successful Aging Among a Sample of Iranian Older Adults

2020 ◽  
Vol 13 (1) ◽  
pp. 67-73
Author(s):  
Nasibeh Zanjari ◽  
Yadollah A. Momtaz
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Successful Aging ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Community Dwelling ◽  
Stepwise Multiple Linear Regression ◽  
Validated Questionnaire ◽  
The Mean

Background: Successful Aging (SA), as one of the most important indicators of elderly people's health, has received substantial attention in the gerontological literature. Objective: The present study aimed to identify the successful aging status and its associated factors. Methods: A cross-sectional study was conducted using the stratified multistage sampling method. In 2015, a total of 600 community-dwelling participants aged 60 years or older in Tehran participated in this study. The SA was measured by a validated questionnaire consisting of seven dimensions. A Stepwise multiple linear regression analysis was done using SPSS to identify the most important predictors of SA. Results: The mean age of the participants was 69.7 (SD=7.5), and around 46% of them were retired. The mean score of the composite index of the SA was 65.6 (SD=10.8; expected range 0-100). The results of the study showed that 11.2% of the participants were aging successfully. The results of the stepwise multiple linear regression analysis revealed that childhood health status, socioeconomic status in childhood, level of education, marital status, income, and the number of diseases are significantly contributed to successful aging. Conclusion: The results of the present study showing only a few of the participants are aging successfully, imply that social and health policymakers must pay more attention to the aging population, particularly those with low social status and chronic medical status.

The Aging Parotid Gland: A Longitudinal Volumetric Study and Implications for Treatment

2020 ◽  
Author(s):  
Jacob I Tower ◽  
Tareq Sawan ◽  
Neil A Gordon ◽  
Boris Paskhover
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Parotid Gland ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Ct Scans ◽  
Study Cohort ◽  
Gland Volume ◽  
The Mean

Abstract Background The parotid gland accounts for significant soft tissue volume in the face and is therefore of central relevance to facial and neck rejuvenation. Objectives To determine how parotid gland volume is predicted by age and other factors. Methods We conducted a retrospective longitudinal study of patients with multiple computed tomography (CT) scans of the neck performed at least 7 years apart. Parotid gland volumes were measured and multiple linear regression analysis was performed to model the relations between age, BMI and parotid volume. Results The study cohort comprised 70 patients. The mean (SD) ages at initial and final imaging time points were 47.5 (12.6) and 58.8 (12.2) years old, with an average of 11.3 years elapsed between CT scans. The mean (SD) parotid gland volume increased from 28.7 (10.0) cc to 32.2 (10.7) cc over the average 11.3 year period (P = 0.03). However, the results of the multiple linear regression analysis show that when controlling for body mass index (BMI) and sex, age alone does not predict parotid volume (P = 0.29). BMI was directly correlated with gland volume (P &lt; 0.01). An increase of 1.0 kg/m 2 in BMI predicted an increase in parotid volume by 1.1 cc. Male sex was also associated with significantly greater parotid volume. Conclusions Mean parotid volume increased over time but these gains were driven by increases in BMI and not age alone. These findings are highly relevant to the treatment of the aging face and neck.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

scholarly journals The Association of Circulating MiR-29b and Interleukin-6 with Subclinical Atherosclerosis

2017 ◽  
Vol 44 (4) ◽  
pp. 1537-1544 ◽  
Author(s):  
Yu-qing Huang ◽  
Jie Li ◽  
Ji-yan Chen ◽  
Ying-ling Zhou ◽  
An-ping Cai ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Interleukin 6 ◽  
Subclinical Atherosclerosis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Group ◽  
Study Group ◽  
Circulating Levels

Background/Aims: Although it is widely acknowledged that atherosclerosis is mainly a chronic inflammatory process, in which both miR-29b and interleukin-6 (IL-6) play multifaceted roles, the association between miR-29b and IL-6 remains unknown. The aim of the present study was to explore the relationship between miR-29b and IL-6 and to test whether circulating levels of miR-29b and IL-6 could predict atherosclerosis. Methods: A total of 170 participants were divided into two groups according to carotid intima-media thickness (CIMT): study group (CIMT ≥ 0.9mm) and control group (CIMT < 0.9mm). Levels of circulating miR-29b and IL-6 were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA), respectively. The association of miR-29b and IL-6 levels with CIMT was assessed using Spearman correlation analysis and multiple linear regression analysis. Results: The study group showed higher miR-29b levels (31.61 ± 3.05 vs. 27.91 ± 1.71 Ct, p < 0.001) and IL-6 levels (3.40 ± 0.67 vs. 2.99 ± 0.37 pg/ml, p < 0.001), compared with the control group. CIMT was positively correlated with miR-29b (r = 0.587, p < 0.001) and IL-6 (r = 0.410, p < 0.001), and miR-29b levels were also correlated with IL-6 (r = 0.242, p = 0.001). Multiple linear regression analysis also showed that CIMT was positively correlated with miR-29b and IL-6. After adjustment for age, body mass index, systolic blood pressure, total cholesterol and C-reactive protein, CIMT was still closely correlated with miR-29b and IL-6. The combination of miR-29b and IL-6 (AUC = 0.901, p < 0.001) offered a better predictive index for atherosclerosis than either miR-29b (AUC = 0.867, p < 0.001) or IL-6 (AUC = 0.747, p < 0.001) alone. Conclusion: Circulating levels of miR-29b and IL-6 may be independently correlated with subclinical atherosclerosis, and may serve as novel biomarkers for the identification of atherosclerosis.

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