scholarly journals Validation of work pressure and associated factors influencing hospital nurse turnover: a cross-sectional investigation in Shaanxi Province, China

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Huiyun Yang ◽  
Jingwen Lv ◽  
Xi Zhou ◽  
Huitong Liu ◽  
Baibing Mi
Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.


2019 ◽  
Vol 19 (12) ◽  
pp. 1248-1253 ◽  
Author(s):  
Sakarn Charoensakulchai ◽  
Sirawich Usawachoke ◽  
Worrawit Kongbangpor ◽  
Phatklao Thanavirun ◽  
Apaporn Mitsiriswat ◽  
...  

2020 ◽  
Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Rui Wang ◽  
...  

Abstract Background This study aimed at investigating the sleep status and its associated factors in Shaanxi province of China. Methods This cross-sectional study was conducted among 11399 subjects in Shaanxi Province, China. Data was collected via spot field questionnaire survey. The contents included demographic characteristics, sleep status, lifestyles, disease history and other associated factors. Logistic regression analysis was used to estimate the effect of associated factors for sleep quality. Crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confident intervals (CI) were calculated. Results A total of 11036 subjects were included in the final analysis. There were 12.8% participants having a bad or very bad sleep. In the last month, 8.4% participants had difficulty in initiating sleep, 7.6% participants had difficulty in maintaining sleep, 8.8% participants suffered from awakening earlier and 10.3% participants had the problem of feeling sleepy during the day ≥ 3 times per week. There were 16.5% participants having one of the above sleep problems (difficulty in initiating sleep, difficulty in maintaining sleep, awakening early) > 3 months. Poorer sleep quality was associated with female (aOR = 1.792, p < 0.001), unmarried or without cohabiting with boyfriend/girlfriend (aOR = 1.319, 95% CI = 1.022–1.704), divorced or widowed (aOR = 1.436, 95% CI = 1.052–1.960), heart diseases (aOR = 1.478, p = 0.002), musculoskeletal diseases (aOR = 1.460, p = 0.018), concerning about their own health (aOR = 1.113, p = 0.016), alcohol drinking (aOR = 1.201, p < 0.001), taking hypnotics (aOR = 1.643, p < 0.001), a longer daily screen time (aOR = 1.055, p < 0.001). Better sleep quality was associated with medium education level (aOR = 0.748, p = 0.003), high family monthly income (aOR = 0.939, p = 0.004), good self-reported health status (aOR = 0.490, p < 0.001), having breakfast regularly (aOR = 0.935, p = 0.016). Conclusions The self-reported sleep quality was generally good in Shaanxi, China. Sleep quality was associated with gender, marital status, educational level, family monthly income, heart disease, musculoskeletal diseases, degree of concerning about their own health, self-reported health status, alcohol drinking, having breakfast, take hypnotics and daily screen time.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Nashi Masnad Alreshidi ◽  
Laila Mohammad Alrashidi ◽  
Abdulrahman Nayir Alanazi ◽  
Eida Habeeb Alshammri

Background: Globally, nursing turnover has become a contemporary concern that significantly influences the financial proficiency of healthcare systems. Not only costs, but healthcare accessibility and quality also reverberate the consequence of the phenomenon.Design and methods:  The study explores the factors that attribute to turnover among foreign registered nurses working in Saudi Arabia. A quantitative-based cross-sectional descriptive study design that uses survey data to make statistical inferences about foreign nurse turnover in Saudi Arabia, was conducted to ascertain factors influencing the termination of foreign nurses working with the Ministry of Health (MOH) hospitals.Results: Factors influencing turnover were categorized into 9 dimensions, professional growth and development, leadership style, management, wage and benefits, workload, interpersonal relationship, housing facilities and services, hospital facilities and intent to stay and turn-over intention, of which the professional growth (4.1±0.7) and development had the highest mean agreement scores (4.0±1.1), whereas housing (2.3±1.3) and hospital facilities (2.1±1.0) showed the lowest mean scores. Conclusions: Wage benefits and workload factors were found to be the most significant causes of expatriate nursing turnover, closely followed by inadequate housing and hospital facilities. Recommendations from nursing staff on how to improve retention were also noted.


Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu

This study aimed at investigating the sleep status and its associated factors in Shaanxi province, China. We conducted a cross-sectional study among 11,399 subjects in Shaanxi Province, China. Data were collected via spot field questionnaire surveys. The contents included demographic characteristics, sleep status, lifestyles, disease history and other associated factors. Logistic regression analysis was used to estimate the effect of associated factors on sleep quality. A total of 11,036 subjects were included in the final analysis. In total, 12.8% of the participants had bad or very bad sleep. In the last month, 8.4% of the participants had difficulty in initiating sleep, 7.6% of the participants had difficulty in maintaining sleep, 8.8% of the participants suffered from awakening earlier and 10.3% of the participants had the problem of feeling sleepy during the day ≥3 times per week. Poorer sleep quality was associated with being female, being unmarried or without cohabiting with a boyfriend/girlfriend, being divorced or widowed, heart diseases, musculoskeletal diseases, concerns about their own health, drinking alcohol, taking hypnotics, and a longer daily screen time. Better sleep quality was associated with medium education level, high family monthly income, good self-reported health status, and having breakfast regularly. In conclusion, more than one in ten people did not sleep well and suffered from different sleep problems in Shaanxi, China. Sleep quality was associated with sex, marital status, educational level, family monthly income, heart disease, musculoskeletal diseases, degree of concerning about their own health, self-reported health status, drinking alcohol, having breakfast, taking hypnotics and daily screen time.


Mousaion ◽  
2020 ◽  
Vol 38 (2) ◽  
Author(s):  
Kehinde Abayomi Owolabi ◽  
Basirat.Olubukola Diyaolu ◽  
Nurudeen Adeniyi Aderibigbe ◽  
Mudasiru A Yusuf

The advent of information and communication technologies (ICTs) has revolutionised how library resources are made and transmitted to end-users. It has effectively improved the standard of education and research in tertiary institutions worldwide by providing various essential resources, including e-books, journals and databases. However, it has been observed that students still abstain from making the best usage of the digital library, instead using search engines rather than institutional digital libraries. This study investigated the factors influencing the behavioural intention of postgraduate (PG) students to use electronic information resources (EIRs). The Unified Theory of Acceptance of Technology (UTAUT) model was adopted. A cross-sectional research design was used to assess the factors influencing the use of EIRs. A sample of 362 PG students was determined using a Monte Carlo simulation approach. Data were collected from participants via the administration of 400 copies of the questionnaire. Confirmatory Factor Analysis (CFA) and the Covariance-Based Structural Equation Modelling (CB-SEM) were used to analyse data collected. The findings revealed that performance expectancy (PE) and effort expectancy (EE) were the two constructs that influenced PG students’ behavioural intention to use EIRs. In contrast, social influence (SI) and facilitating condition (FC) did not change the PG students’ behavioural plan to use EIRs. The study recommended the need for adequate training for postgraduate (PG) students on the obligation to accept and use EIRs.


2018 ◽  
Vol 7 ◽  
Author(s):  
Arefeh Shahi

Background: Postpartum depression with a different incidence of 40- 45% in different societies, which it has adverse effects on the health of mothers and their child, given the negative effects of maternal depression and its harmful effects on the baby and the quality of family life. So, this study was performed with the aim to determine postpartum depression and its associated factors in Bandar Abbas city. Materials and Methods: A descriptive cross-sectional study was conducted in 2015 after obtaining consent from mothers by the census. A total of 343 mothers was examined for depression who referred to Bandar Abbas health centers in the 2nd and 4th months after childbirth. The data collection tools included demographic information and Postpartum Depression Edinburgh questionnaires. Finally, the statistical analyses were performed using SPSS (version 22.0) software and data were analyzed using the Independent t-test, Mann Whitney, Chi-square, and Fisher exact tests.Result: Totally, 68 (19.8%) of samples were in the second month and 54 (15.7%) in the fourth month after delivery had postpartum depression. The incidence of depression in the four months was 6.6%. There was a significant difference between depression and income, parental education, father’s use of cigarette and abnormalities of the infant (P <0.001). There was no significant difference between other factors such as gestational age, infant sex, birth weight, unwanted pregnancy, and type of delivery. Conclusion: Regarding the prevalence of this disorder, it seems that postpartum depression screening planning should be considered during child routine care as an essential component, especially for vulnerable groups.


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