The Association of the Quality of Work Life and General Health of the Nurses in Psychiatric Wards

Esmaeilpour, L; Jafarjalal, Ezzat

doi:10.29252/ijn.32.117.69

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…Additionally, happiness research can play an important role in strengthening relationships and bolstering a sense of community between people. Research showing that happiness increases when people are connected and support each other can contribute to strengthening social cohesion (Darbanastaneh & Mahmoudi, 2016;Esmaeilpour & Jafarjalal, 2019).…”

Section: Introductionmentioning

confidence: 99%

A Study of Factors Influencing Happiness in Korea: Topic Modelling and Neural Network Analysis

Jang,

Masatsuku

2024

Data and Metadata

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The aim of this study is to derive the important factors that influence levels of happiness in Korea, and to identify which factors are particularly important among these influencing factors. To achieve this goal, topic modelling analysis, machine learning analysis and neural network analysis methods were utilized. The Netminer 4.5 program was used for topic modelling analysis and machine learning analysis, and SPSS MODELER 18 was used to perform neural network analysis. Two types of analysis data were used in this study. The first consisted of 1,000 papers relating to happiness published in academic journals managed by the Springer publishing company, which were used to derive happiness-influencing factors. The second consisted of a survey conducted in 2020 by the Community Well-being Center of the Graduate School of Public Administration at Seoul National University in Korea. A total of 16,655 people responded to this survey. The analysis results of the study are as follows. Important variables that affect the level of happiness of Korean residents are: family life, social status, income, health, and perceptions of inequality. Analysis using neural network analysis of the most important factors influencing happiness showed that satisfaction with family life had the most important influence. This suggests that policies that can improve the quality of family life, such as family-friendly work environments, childcare support, and domestic violence prevention and response programmes, will become important in the future.

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Section: Introductionmentioning

confidence: 99%

A Study of Factors Influencing Happiness in Korea: Topic Modelling and Neural Network Analysis

Jang,

Masatsuku

2024

Data and Metadata

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“…The World Health Organization (WHO) defines general health as "a state of mental well-being that enables people to cope with the stresses of life, realize their abilities, learn well and work well, and contribute to their community [7]." The nature of work during the pandemic was in relation to wearing personal protective measures (PPE), the risk of catching the virus and spreading it to others, while delivering handson care for patients, and exposing health workers to various health problems, such as physical, social, and psychological [8]. Scientific evidence confirmed that the outbreak of this disease has caused numerous psychological problems such as pre-and posttraumatic stress disorder (PTSD), anxiety, depression, and anger at a global level [9,10].…”

Section: Introductionmentioning

confidence: 99%

Healthcare Workers’ General Health and Its Relation with Anxiety, Anger, and Posttraumatic Stress Disorder during COVID-19 Outbreak in Southeast Iran

Malakoutikhah,

Ahmadi Lari,

Baharloo

et al. 2024

Mental Illness

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Background. Healthcare workers during the COVID-19 pandemic played an effective role in providing preventive and curative measures. Scientific evidence confirmed that the outbreak of this disease has caused numerous psychological problems such as pre- and posttraumatic stress disorder (PTSD), anxiety, depression, and anger at a global level. This study is aimed at investigating the general health of healthcare workers and its relationship with anxiety, anger, and posttraumatic stress disorder during the outbreak of COVID-19. Methods. This research was a cross-sectional study conducted on 455 healthcare workers of four teaching hospitals in Kerman, southeast of Iran. The convenience sampling method was used. The research tools included the 12-Item General Health Questionnaire (GHQ-12), the Impact of Event Scale-Revised (IES-R), the trait anxiety section of State-Trait Anxiety Inventory (STAI), and the trait anger section of Trait-State Anger Expression Inventory 2 (STAXI-2). Data analysis was done in IBM SPSS Statistics version 25 and using Pearson’s correlation tests, independent t-test, ANOVA, and multivariate linear regression. Results. 28.1% (n=128) of the participants had mental health disorders. The mean score of anxiety was 43.99±9.24 which was at moderate to high level of anxiety. The mean score of anger was 18.65±5.72 which was at the moderate level. The mean score of PTSD was 34.77±15.24 which was less than the midpoint of the questionnaire, i.e., the score of 44. The results of the multiple linear regression model that showed anxiety, anger, gender, and hospital were predictors of mental health (P<0.05). Conclusion. The results of the present study showed that about a quarter of the healthcare workers faced with the COVID-19 pandemic had mental health disorders and suffered from moderate to high anxiety, moderate anger, and PTSD. It was also observed in this study that there was a weak to moderate significant correlation between general health and anxiety, anger, and PTSD in healthcare workers. So, healthcare workers need a lot of social and psychological support.

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“…In hospitals and medical centers, the quality of hospital services will not be guaranteed without the participation of nurses [ 15 ]. Various factors such as incompatibility and dissatisfaction with work, stress, fatigue, illness, and lack of leisure time of nurses affect their behavior [ 16 ]. Nurses who have dealt with patients for a more extended period are more likely to be vulnerable.…”

Section: Introductionmentioning

confidence: 99%

Study of Complexity Systems in Public Health for Evaluating the Correlation between Mental Health and Age-Related Demographic Characteristics: A General Health Study

Haghi

Goli

Rezaei

et al. 2022

Journal of Healthcare Engineering

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The main objective of this study is to evaluate the quality of nurses’ work lives and mental health during outbreaks. We also use the General Health Questionnaire–28 and Walton’s QWL technique to assess the association between these two and their dimensions with demographic variables and each other. First, 165 nurses from COVID-19 medical centers in Iran filled surveys for this research. In an SPSS program, the data were examined. There was a strong link between mental health and age-related demographic factors. There was no evidence of a link between the quality of nurses’ work life and their psychological health. However, there was a strong link between somatic symptoms and fair and appropriate compensation, as well as constitutionalism. The worst situations for work life quality were linked to the whole living area dimension. In contrast, the worst conditions for mental health were linked to the somatic symptoms dimension.

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The Association of the Quality of Work Life and General Health of the Nurses in Psychiatric Wards

Cited by 6 publications

References 7 publications

A Study of Factors Influencing Happiness in Korea: Topic Modelling and Neural Network Analysis

A Study of Factors Influencing Happiness in Korea: Topic Modelling and Neural Network Analysis

Healthcare Workers’ General Health and Its Relation with Anxiety, Anger, and Posttraumatic Stress Disorder during COVID-19 Outbreak in Southeast Iran

Study of Complexity Systems in Public Health for Evaluating the Correlation between Mental Health and Age-Related Demographic Characteristics: A General Health Study

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