Psychometric properties of the Work Limitations Questionnaire applied to nursing workers

Oliveira, Samuel Andrade de; Campos, Juliana Álvares Duarte Bonini; Marôco, João; Marziale, María Helena Palucci; Rocha, Fernanda Ludmilla Rossi

doi:10.1590/1518-8345.4771.3466

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…Given the complicated role that autophagy plays in cancer, further research is needed to better elucidate how autophagy interacts with tumors and the molecular mechanisms underlying them to find new ways to treat cancer. [8][9][10][11] Hepatocellular carcinoma (HCC) is the second most prevalent cancer affecting people across the globe and 6 th most leading cause of cancer-linked mortality in males. 12 The optimal method of treating HCC is surgical resection.…”

Section: Introductionmentioning

confidence: 99%

Developing and Validating an Autophagy Gene-Set-Based Prognostic Signature in Hepatocellular Carcinoma Patients

Zhang¹,

Zhao²,

Wei³

et al. 2022

IJGM

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Background: Hepatocellular carcinoma (HCC), a major type of cancer affecting the lives of people across the world, is one of many diseases whose advancement is thought to be influenced by autophagy dysfunction. Here, the prognostic significance of autophagy in HCC will be investigated. Methods: The Cancer Genome Atlas (TCGA) database was employed in this work to identify 62 differentially-expressed Autophagy-Related Genes (ARGs) in HCC patients. Functional enrichment studies revealed that autophagy played a tumor-promoting role in the advancement of HCC. Based on RNA sequencing of 116 tumor samples and 114 paracancerous tissue samples acquired from HCC patients at the Guangxi Medical University Cancer Hospital, 866 differentially expressed prognosis-related genes were identified. Using lasso regression analysis, two ARGs (BIRC5 and BAK1) linked to prognosis were discovered after intersecting the differential genes derived from the prognosis-related groups. A risk score based on ARGs was developed using a Cox proportional hazards regression model. RNA sequencing data were used to construct this model. Finally, the TCGA and The Human Protein Atlas Databases (THPA) were used to validate the clinical data of 116 HCC patients.Results: Elevated expression level of the BAK1 and BIRC5 genes is linked to poor prognosis. The two ARGs were used to calculate the risk score as follows: (0.0253*BAK1) + (0.0051*BIRC5). Risk score served as the independent prognostic factor as per the multivariate analysis. TCGA, THPA, and data from the Guangxi Medical University Cancer Hospital were used to confirm the predictive validity of risk scores for the prognosis of HCC patients. Conclusion:This study offers molecular insights regarding the involvement of autophagy in HCC patients, along with a probable prognostic signature for determining the outcome (prognosis) of HCC patients.

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Section: Introductionmentioning

confidence: 99%

Developing and Validating an Autophagy Gene-Set-Based Prognostic Signature in Hepatocellular Carcinoma Patients

Zhang¹,

Zhao²,

Wei³

et al. 2022

IJGM

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The effect of the hospital working environment on the work limitation of the employees in Turkey: a multivariable analysis

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Uslukılıç

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2023

BMC Health Serv Res

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Background The aim of this study is to examine the effects of working environment and demographic variables on the level of work limitation in a university hospital. Methods The study is cross-sectional and was conducted in 2022 among employees of a university hospital. 254 people voluntarily participated in the study. Data were collected by applying the sociodemographic data form, the Work Limitation Questionnaire (WLQ), and the Work Environment Scale (WES). Institutional permission and ethical approval were obtained for the study. In the analysis of the data, t-test, ANOVA, and linear regression (LR) were used. Results The WLQ score average of hospital staff was low. According to LR analysis, the factors affecting the level of work limitation of hospital staff; worsening perception of health status, being a doctor, decreased income level, increased working time in the institution, and age reduction. It was determined that 32.8% of the change in the WLQ score was related to these factors. While in the univariate tests, the mean of work limitation was found to be significant by getting occupational health safety training, having health problems due to the work done, and taking leave due to work accidents, in the multivariable LR analysis, these factors were insignificant. Conclusions As the working environment gets worse, the level of work limitation increases. It is recommended that hospital managers make the working environment better and safer, and make arrangements and programs to increase personnel satisfaction.

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Psychometric properties of the Work Limitations Questionnaire applied to nursing workers

Cited by 2 publications

References 32 publications

Developing and Validating an Autophagy Gene-Set-Based Prognostic Signature in Hepatocellular Carcinoma Patients

Developing and Validating an Autophagy Gene-Set-Based Prognostic Signature in Hepatocellular Carcinoma Patients

The effect of the hospital working environment on the work limitation of the employees in Turkey: a multivariable analysis

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