Leadership Styles and RN Turnover Intentions in Long-Term Care Facilities

Employee turnover is a concern for leaders in the nursing home industry because employees with turnover intentions may negatively impact the continuity of operations and strategic plans, resulting in poor quality of care for residents. Grounded in House\u27s path-goal theory, the purpose of this quantitative, correlational study was to examine the relationship among idealized attributes, idealized behaviors, inspirational motivation, intellectual stimulation, individualized consideration, contingent reward, management by exception-active management by exception-passive, and turnover intentions in RNs. The independent variables were the subcategories of transformational and transactional leadership. The dependent variable was turnover intentions. Participants included 110 nonmanagement RNs working in long-term care facilities in Illinois. Data was collected using the Multifactor-Leadership Questionnaire (MLQ-5x short) and the Turnover Intentions Scale (TIS-6). The multiple linear regression analysis results indicated the model was able to significantly predict turnover intentions: F(8,101) = 8.53, p \u3c .001, R²= .40, R²adj = .36. In the final model, three predictors were significant, inspirational motivation (t=-1.87, p=\u3c.010, β=-.323), contingent reward (t=2.15, p=\u3c.015, β=.289), and management by exception passive (t=5.29, p=\u3c.001, β=.387). A key recommendation is for nursing home leaders to encourage development, positive morale, and recognize employees for good performance. The implication for positive social change includes the potential to minimize employee turnover and enhance the quality of healthcare for nursing home patients

Personality, workstation type, task focus, and happiness in the workplace

The current study adds to the emerging interest in workplace person-environmental associations by exploring the interaction between employee personality traits and office workstation type (open bench seating, cubicle, private office) in predicting on-task focus and happiness. To capture an ecologically valid assessment of such interactions, 231 federal office workers completed momentary and global, one-time surveys. While global focus ratings were highest for private offices workers, there were no differences between workstation types in momentary focus ratings. Open bench seating was more beneficial to momentary focus and happiness for employees high in extraversion, while detrimental to momentary focus for those high on neuroticism. These results illustrate the importance of considering personality when designing work spaces that improve employee focus and happiness.Open access articleThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling

Abstract We conducted a field study using multiple wearable devices on 231 federal office workers to assess the impact of the indoor environment on individual wellbeing. Past research has established that the workplace environment is closely tied to an individual’s wellbeing. Since sound is the most-reported environmental factor causing stress and discomfort, we focus on quantifying its association with physiological wellbeing. Physiological wellbeing is represented as a latent variable in an empirical Bayes model with heart rate variability measures—SDNN and normalized-HF as the observed outcomes and with exogenous factors including sound level as inputs. We find that an individual’s physiological wellbeing is optimal when sound level in the workplace is at 50 dBA. At lower (50dBA) amplitude ranges, a 10 dBA increase in sound level is related to a 5.4% increase and 1.9% decrease in physiological wellbeing respectively. Age, body-mass-index, high blood pressure, anxiety, and computer use intensive work are person-level factors contributing to heterogeneity in the sound-wellbeing association

Priming of Neutrophils and Differentiated PLB-985 Cells by Pathophysiological Concentrations of TNF-α Is Partially Oxygen Dependent

Activation of polymorphonuclear leukocytes (PMN) can be modulated to intermediate ‘primed’ states characterized by enhanced responsiveness to subsequent stimuli. We studied priming in response to TNF-α in human PMN and PLB-985 cells, a myeloid cell line differentiated to a neutrophilic phenotype (PLB-D). PMN generated reactive oxygen species (ROS) in response to TNF-α alone, and NADPH oxidase activity increased in response to stimulation with formyl-Met-Leu-Phe after priming. PLB-D cells also demonstrated priming of NADPH oxidase activity. Similar to priming by endotoxin, priming of the respiratory burst by TNF-α was predominantly oxygen dependent, with marked attenuation of ROS generation if primed anaerobically. Both PMN and PLB-D cells displayed significant increases in cell surface CD11b and gp91phox expression after TNF-α priming and PMN displayed activation of MAPK. In response to TNF-α priming, neither mobilization of intracellular proteins nor activation of MAPK pathways was NADPH oxidase dependent. Priming of PMN and PLB-D cells by low TNF-α concentrations enhanced chemotaxis. These data demonstrate that pathophysiological concentrations of TNF-α elicit NADPH oxidase-derived ROS and prime cells for enhanced surface protein expression, activation of p38 and ERK1/2 MAPK pathways, and increased chemotaxis. Furthermore, PLB-D cells undergo TNF-α priming and provide a genetically modifiable model to study priming mechanisms

Integrated gene analyses of de novo variants from 46,612 trios with autism and developmental disorders

Most genetic studies consider autism spectrum disorder (ASD) and developmental disorder (DD) separately despite overwhelming comorbidity and shared genetic etiology. Here, we analyzed de novo variants (DNVs) from 15,560 ASD (6,557 from SPARK) and 31,052 DD trios independently and also combined as broader neurodevelopmental disorders (NDDs) using three models. We identify 615 NDD candidate genes (false discovery rate [FDR] < 0.05) supported by ≥1 models, including 138 reaching Bonferroni exome-wide significance (P < 3.64e-7) in all models. The genes group into five functional networks associating with different brain developmental lineages based on single-cell nuclei transcriptomic data. We find no evidence for ASD-specific genes in contrast to 18 genes significantly enriched for DD. There are 53 genes that show mutational bias, including enrichments for missense (n = 41) or truncating (n = 12) DNVs. We also find 10 genes with evidence of male- or female-bias enrichment, including 4 X chromosome genes with significant female burden (DDX3X, MECP2, WDR45, and HDAC8). This large-scale integrative analysis identifies candidates and functional subsets of NDD genes