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10.1111/jocn.15918 http://scihub22266oqcxt.onion/10.1111/jocn.15918 34121260!8446968!34121260     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Clin+Nurs 2022 ; 31 (5-6): 601-611 Nephropedia Template TP {{tp|p=34121260|t=2022. Analysis of mental health symptoms and insomnia levels of intensive care nurses during the COVID-19 pandemic with a structural equation model |pdf=|usr=}}{{34121260}} gab.com Text Analysis of mental health symptoms and insomnia levels of intensive care nurses during the COVID-19 pandemic with a structural equation model JO: J Clin Nurs http://www.kidney.de/pget.php?&tw=1&pmid=34121260 #FOAvip BACKGROUND: Faced with this critical situation and directly involved in the treatment and care of COVID-19 patients, front-line healthcare workers are at high risk in terms of mental health symptoms. AIMS AND OBJECTIVES: To determine the stress, anxiety, depression, and insomnia levels of intensive care nurses during the pandemic with a structural equation model. DESIGN: A multi-site survey study. METHODS: The study was performed with 194 nurses working in the intensive care units of five hospitals in Istanbul in July 2020. Data were collected using the Depression Anxiety Stress-21 Scale and Insomnia Severity Index electronically. The data were evaluated with descriptive statistics in SPSS package program. In order to test the structural model and hypotheses of the research, path analysis was performed with LISREL statistical software program. A validation study for the suitability of these scales to the study sample was done by the researchers using the confirmatory factor analysis method. The study conforms to the TREND checklist. RESULTS: In this study, the majority of the intensive care nurses had moderate to extremely severe depression (65.5%), anxiety (58.3%) and stress (72.3%) scores; in addition, 39.7% of the nurses experienced moderate or severe insomnia. Within the framework of a structural model; the effects of stress, anxiety and insomnia on depression, which is the dependent variable, were found to be statistically significant (p < .001). CONCLUSIONS: It was found that the majority of the intensive care nurses fighting COVID-19 on the front-line experienced stress, anxiety, depression and insomnia at levels ranging from moderate to extremely severe; in addition, it was determined that there is a positive relationship between stress, anxiety, insomnia and depression. RELEVANCE TO CLINICAL PRACTICE: This study, in which we have determined the mental health symptoms and insomnia levels of intensive care nurses, who are in the front-line during the COVID-19 pandemic, constitutes the scientific basis for the effective coping strategies that the authorities will take in this subject. Twit Text FOAVip Analysis of mental health symptoms and insomnia levels of intensive care nurses during the COVID-19 pandemic with a structural equation model ????J Clin Nurs http://www.kidney.de/pget.php?&tw=1&pmid=34121260 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34121260 #FOAvip English Wikipedia <ref>{{Cite pmid|34121260}}</ref> Analysis of mental health symptoms and insomnia levels of intensive care nurses during the COVID-19 pandemic with a structural equation model #MMPMID34121260 Kandemir D; Temiz Z; Ozhanli Y; Erdogan H; Kanbay Y J Clin Nurs 2022[Mar]; 31 (5-6): 601-611 PMID34121260show ga BACKGROUND: Faced with this critical situation and directly involved in the treatment and care of COVID-19 patients, front-line healthcare workers are at high risk in terms of mental health symptoms. AIMS AND OBJECTIVES: To determine the stress, anxiety, depression, and insomnia levels of intensive care nurses during the pandemic with a structural equation model. DESIGN: A multi-site survey study. METHODS: The study was performed with 194 nurses working in the intensive care units of five hospitals in Istanbul in July 2020. Data were collected using the Depression Anxiety Stress-21 Scale and Insomnia Severity Index electronically. The data were evaluated with descriptive statistics in SPSS package program. In order to test the structural model and hypotheses of the research, path analysis was performed with LISREL statistical software program. A validation study for the suitability of these scales to the study sample was done by the researchers using the confirmatory factor analysis method. The study conforms to the TREND checklist. RESULTS: In this study, the majority of the intensive care nurses had moderate to extremely severe depression (65.5%), anxiety (58.3%) and stress (72.3%) scores; in addition, 39.7% of the nurses experienced moderate or severe insomnia. Within the framework of a structural model; the effects of stress, anxiety and insomnia on depression, which is the dependent variable, were found to be statistically significant (p < .001). CONCLUSIONS: It was found that the majority of the intensive care nurses fighting COVID-19 on the front-line experienced stress, anxiety, depression and insomnia at levels ranging from moderate to extremely severe; in addition, it was determined that there is a positive relationship between stress, anxiety, insomnia and depression. RELEVANCE TO CLINICAL PRACTICE: This study, in which we have determined the mental health symptoms and insomnia levels of intensive care nurses, who are in the front-line during the COVID-19 pandemic, constitutes the scientific basis for the effective coping strategies that the authorities will take in this subject. |*COVID-19[MESH] |*Sleep Initiation and Maintenance Disorders/epidemiology[MESH] |Anxiety/epidemiology[MESH] |Critical Care[MESH] |Cross-Sectional Studies[MESH] |Depression/epidemiology[MESH] |Humans[MESH] |Mental Health[MESH] |Pandemics[MESH]Analysis of mental health symptoms and insomnia levels of intensive ca(epmc).pdf DeepDyve Pubget Overpricing