Lipid Disturbances in Breast Cancer Patients during Chemotherapy.

Breast cancer is the most common cancer in women. Cardiovascular diseases are common complications after chemotherapy due to the effect of the drug on lipid levels. This study aimed to explore the changes in lipid profiles in patients with breast cancer under chemotherapy. METHODS: In this prospective study, 50 patients with breast cancer participated. Three biochemical-lipid hematological tests were performed: total cholesterol (TC), triglycerides (TGs), High-Density Lipoprotein (HDL-C), and Low-Density Lipoprotein (LDL-C) before initiation (pre-chemotherapy), at the start (first follow-up), and at the completion (second follow-up) of the first cycle of chemotherapy. Statistical significance was set at p < 0.05. Analyses were conducted using SPSS Statistical Software (version 22.0). RESULTS: Mean TC values increased significantly at second follow-up. TGs values decreased significantly from first to second follow-up. HDL-C was significantly lower at first follow-up compared with pre-chemotherapy and was similar to the pre-chemotherapy levels at second follow-up. LDL-C values were significantly higher at second follow-up compared with pre-chemotherapy measurement. Significantly positive correlations of BMI with pre-chemotherapy LDL-C, first follow-up TC, first follow-up LDL-C, second follow-up TC, and second follow-up LDL-C were found. CONCLUSIONS: There is a statistically significant increase in the levels of TC and LDL-C in breast cancer patients during chemotherapy. This study was not registered.

Anxiety, insomnia and family support in nurses, two years after the onset of the pandemic crisis.

Introduction: The Covid-19 pandemic continues to cause serious physical and mental problems for health professionals, particularly nurses. Aim: To estimate the prevalence of anxiety and insomnia and to evaluate their possible association with family support received by nurses two years after the onset of the pandemic. Materials and methods: In total, the study participants were 404 nurses (335 females and 69 males) with a mean age of 42.88 (SD = 10.9) years and a mean of 17.96 (SD = 12) years working as nurses. Nurses from five tertiary hospitals in Athens constituted the study population who completed the questionnaires State-Trait Anxiety Inventory (STAI), Athens Insomnia Scale (AIS) and Family Support Scale (FSS), in the months of November and December 2021. Regarding demographic and occupational characteristics, gender, age and years of experience as nurses were recorded. Results: 60.1% of the nurses showed abnormal scores in state anxiety, with 46.8% in trait anxiety, and 61.4% showed insomnia. Women showed higher scores on the two subscales of anxiety and the insomnia scale compared to men (p < 0.01 and p < 0.05 respectively), while they showed a lower score on the FSS without statistical significance (p > 0.05). Positive correlations (p < 0.01) were found between the State Anxiety Inventory, Trait Anxiety Inventory and AIS, while all of them showed a high negative correlation with FSS (p < 0.01). Age showed a negative correlation with Trait Anxiety Inventory (p < 0.05). As shown by the mediation analysis, the relationship between state anxiety and insomnia was mediated by trait anxiety, whereas state anxiety appeared to be dependent on family support. Conclusions: Nurses continue to experience high levels of anxiety and insomnia and feel less supported by their families than in the first year of the pandemic. Insomnia appears to be dependent on state anxiety, with a significant indirect effect of trait anxiety, while family support seems to affect state anxiety.

The Mediating Role of Depression and of State Anxiety οn the Relationship between Trait Anxiety and Fatigue in Nurses during the Pandemic Crisis.

The coronavirus pandemic (COVID-19) is a global health crisis with a particular emotional and physical impact on health professionals, especially nurses. The aim of this study was to investigate the prevalence of anxiety, depression and fatigue and their possible relationships among nurses during the pandemic. The study population consisted of nurses from five tertiary-level public hospitals in Athens who completed the Fatigue Assessment Scale (FAS), Beck Depression Inventory (BDI) and State-Trait Anxiety Inventory (STAI) questionnaires. Gender, age and years of work experience were recorded. The study was conducted from mid-November to mid-December 2021. The sample included 404 nurses (69 males and 335 females) with a mean age of 42.88 years (SD = 10.90) and 17.96 (SD = 12.00) years of work experience. Symptoms of fatigue were noted in 60.4% of participants, while 39.7% had symptoms of depression, 60.1% had abnormal scores on state anxiety and 46.8% on trait anxiety, with females showing higher scores on all scales (p < 0.05). High positive correlations (p < 0.01) were found between the FAS, BDI, State Anxiety and Trait Anxiety scales. Regression analysis showed that 51.7% of the variance in FAS scores can be explained by trait anxiety, an additional 6.2% by the BDI and 1.2% by state anxiety. Mediation analysis showed that state anxiety and BDI mediate the relationship between trait anxiety and FAS. Finally, BDI was found to exert a moderating role in the relationship between trait anxiety and fatigue. In conclusion, our study showed that nurses continue to experience high rates of anxiety, depression and fatigue. The variation in fatigue appears to be significantly dependent on trait anxiety. Depressive symptomatology and state anxiety exert a parallel positive mediation on the relationship between trait anxiety and fatigue, with depression exhibiting a moderating role in this relationship.

Burnout, Depression and Sense of Coherence in Nurses during the Pandemic Crisis.

During the COVID-19 pandemic, the risk to nurses' mental health has increased rapidly. The aim of the study was to investigate the prevalence of depression and burnout and to evaluate their possible association with the sense of coherence in nursing staff during the pandemic crisis. The Copenhagen Burnout Inventory questionnaire, Beck's Depression Inventory, and the Sense of Coherence questionnaire were completed by 101 male and 559 female nurses. Individual and demographic data were recorded. Regarding depression, 25.5% of respondents exhibited mild depression, 13.5% moderate depression and 7.6% severe depression. In the burnout scale, 47.1% had a pathological value. Female nurses had higher burnout (t test p < 0.01, 49.03 vs. 38.74) and depression (t test p < 0.01, 11.29 vs. 6.93) scores compared to men and lower levels in the sense of coherence (p < 0.05, 59.45 vs. 65.13). Regression evidenced that 43.7% of the variation in the BDI rating was explained by the CBI, while an additional 8.3% was explained by the sense of coherence. Mediation analysis indicated a partial mediation of burnout in the correlation between sense of coherence and depression. The sense of coherence acted as a negative regulator between burnout and depression.

Nursing staff fatigue and burnout during the COVID-19 pandemic in Greece.

INTRODUCTION: The coronavirus pandemic (COVID-19) is an unprecedented global health crisis with emotional and physical impact on health care workers. OBJECTIVE: The purpose of this study was to investigate the levels of fatigue and burnout in nursing staff during the pandemic. METHODS: The present study involved nursing staff from hospitals in Greece in February 2021, who completed the Fatigue (FAS) and Burnout (CBI) questionnaires. Gender, age, years of work experience, workplace (COVID-19 or non-COVID-19 wards) and SARS-CoV-2 infection status were recorded. RESULTS: The sample included 593 women and 108 men, with a mean age ± SD: 42.9 ± 9.9 years and 18.14 ± 10.8 years work experience. Slightly more than half, (367, 52.4%) worked in COVID-19 departments. Fifty-six (8%) tested positive for SARS-CoV-2 and 14 of them needed to be treated. The mean ± SD FAS and CBI scores were 25.6 ± 7.4 and 46.9 ± 18.8, respectively (67.9% and 42.9% had scores suggestive of fatigue and burnout, respectively). Women showed higher values in both scales (p < 0.01). Subjects working in COVID-19 wards scored significantly higher on both the FAS and CBI scales; they were also younger and with less work experience (p < 0.01). Staff treated for COVID-19 scored higher on the burnout scale (p < 0.01) than the uninfected staff. Fatigue showed a strong positive correlation with burnout (p < 0.01, r = 0.70). Stepwise multiple regression showed that the variation of fatigue was explained by 47.0% and 6.1% by the scores on the subscales of personal and work-related burnout, respectively. CONCLUSION: In conclusion, high rates of fatigue and burnout were found in the studied population. Nurses working with COVID-19 patients had higher rates of fatigue and burnout compared to those working elsewhere. There was a strong positive correlation (r = 0.70) between burnout and fatigue. Particular attention should be paid to staff who became ill and need to be treated.

Simulation in Clinical Nursing Education.

BACKGROUND: Simulation constitutes a teaching method and a strategy for learning and understanding theoretical knowledge and skills in the nursing and medical field. OBJECTIVE: To review and present modern data related to this issue. METHODS: Literature review of data related to the issue derived from Medline, Cinhal, and Scopus databases, in English, using the following keywords: nursing, simulation, simulator, nursing laboratory. RESULTS: The implementation of simulation enables students to practice their clinical and decision-making skills for some significant issues they may face in their daily work. The protected environment and the sense of security enhance students' self-esteem and confidence, thus promoting learning. In this way, the gap between theory and practice is substantially reduced. CONCLUSION: The further development of simulation, along with other instructional techniques, can significantly help the efforts made by the students to become integrated and successful healthcare professionals.

Modifiable factors affecting inpatient violence in an acute child and adolescent psychiatric unit: A 16-year retrospective study.

Violent incidents in acute inpatient units for children and adolescents are a major and persistent problem. The demographic, clinical, and modifiable (environmental-organizational) risk factors that affect inpatient violence in an Acute Child and Adolescent Psychiatric Unit were investigated via a retrospective study. Data were collected from nursing and medical reports and the unit's census and included 100 days per year for 16 years. Incidents of violence and assault types were recorded, and variables such as the diagnostic category of assailants, total number of patients, and staffing factors during the incident were examined. Of the 2390 violent incidents recorded, 50% were attributed to cases of physical violence towards another patient, 17% to physical violence towards nursing staff, 19% to physical violence towards self and 14% to destruction of property. According to the final multivariable model, for each additional patient in the unit, the risk of a violent event increased by 9.51%; for each additional offender patient, the risk increased by 14.06%; the number of assistant nurses was associated with a 25.03% increased risk; and, after 2006, the risk increased by 68.99%. The most significant factor associated with a 59.98% decreased risk was the total number of nursing staff. All variables significantly and independently contributed to the model. Acute inpatient psychiatric units with a small number of hospitalized patients, adequate, well-trained and specialized nursing staff, and the hospitalization of different types of patients in separate wards or units are expected to facilitate a reduction in the frequency of violent incidents.

Anxiety and depression in Greek nursing and medical personnel.

The relatively low number of nurses compared to physicians in Greece and the few available studies on the psychological problems of the health professionals led to comparison of anxiety and depression for 76 Greek nursing personnel (20 men, M age: 32.8 yr., SD: 3.8 yr., and 56 women, M age: 36.6 yr., SD: 7.7 yr.) and 66 doctors (35 men, M age: 35.9 yr., SD: 8.9 yr. and 31 women, M age: 32.7 yr., SD: 8.1 yr.) using validated translations of the Spielberger State-Trait Anxiety Inventory and the Beck Depression Inventory. Male nurses had the lowest scores on trait anxiety, while female doctors had the highest scores, followed by female nurses. Depression scores were not different between doctors and nurses, regardless of sex. Age and depression scores were positively correlated (Spearman rho = .31) only for the female nurses. The findings suggest that interventions for diagnosis and stress management in the health-care workplace should be equally targeted for nursing and medical personnel.