BackgroundNurses’ intention to leave their profession is a worldwide concern. Studies have shown that it can take the form of a chain reaction: many nurses first leave the unit, then the hospital, and finally the profession. Organisation and other labour factors, personal and conjunctural, have been associated with the intention to quit nursing. This study aimed to examine the factors associated with the intention to leave the profession among registered nurses (RNs) at large public hospitals in Brazil.MethodsThis was a cross-sectional study, conducted from 2010 to 2011: all RNs at Rio de Janeiro’s 18 largest public hospitals (>150 beds) were invited to participate. The study sample comprised 3,229 RNs (82.7% of those eligible), who answered a self-completed, multidimensional paper questionnaire. The outcome was defined as thoughts of leaving the profession sometimes a month or more. We based the analyses on hierarchical logistic regression models, considering three blocks of determinants: socio-demographic data (block I), occupational factors (block II), and health conditions (block III).ResultsOf the study population, 22.1% indicated the intention to leave the profession. In the final model after adjustment, the variables associated with the intention to leave were as follows: male sex (odds ratio [OR] = 1.65), not holding a leadership position (OR = 1.28), highly demanding work (OR = 2.49), passive work (OR = 2.10), effort-reward imbalance (OR = 2.00), poor self-rated health (OR = 1.92), over-commitment to the job (OR = 1.87), and poor supervisor support (OR = 1.33). The likelihood of expressing the intention to leave increased with age (OR = 0.98 for the oldest).ConclusionsSelf-rated health and factors connected with the work environment, particularly those that generate psychosocial strain, were most strongly associated with the intention to leave the profession. From the profiles of nurses who wished to leave the profession, we found that for many people who go into nursing—especially men and younger entrants—their prospects of remaining in the profession are poor. The potential role of psychosocial job characteristics and self-rated health indicates the need for long-term action involving all stakeholders, i.e. managers, employers, and workers.
This cross-sectional exploratory study involved health care workers of various skill types and levels. We tested the hypothesis that the prevalence of diseases, sleep complaints, and insufficient time for nonprofessional activities (family, leisure, and rest) are higher among night than day workers. Data collection was carried out in two public hospitals using questionnaires and other forms. Night work was explored as a risk factor, considering a night worker as one who had at least one night job on the occasion of the research. Data were assessed by a univariate analysis. The association between work schedule and the dependent variables--health conditions, sleep complaints, and insufficient time for nonprofessional activities--was evaluated through the estimation of the prevalence ratio, with a confidence interval of 95%. Two hundred and fifty-eight female nursing personnel participated; 41.5% were moonlighters, and only 20 worked a shift of less than 12h in length. Reports of migraine and need of medical care the 2 weeks before the survey were more prevalent among day than night workers (PR=0.71; CI=0.55-0.92 and PR=0.71; CI=0.52-0.95, respectively). Migraine headaches occurred less frequently among night than day workers as confirmed by comparing the reports of the night workers and day workers whose work history was always day shifts (PR = 0.74; CI = 0.57-0.96). Reports of mild emotional disorders (mild depression, tension, anxiety, or insomnia) were less frequent among night (PR=0.76; CI=0.59-0.98) and ex-night workers (PR=0.68; CI=0.50-0.91) than day workers who never had worked a night job. The healthy worker effect does not seem to explain the results of the comparisons between day and night workers. The possible role of exposure by day workers to some risk factors, such as stress, was suggested as an explanation for these results. No significant difference was observed between night and day workers as to sleep complaints, a result that may have been influenced by the nature of the shift-work schedule (no successive night shifts) and possibly nap taking during the night shift. Moreover, the long work hours and moonlighting of the healthcare workers, which is common in Brazil, may have masked other possible differences between the day and night workers. Among night workers, a significant relation was found between years working nights (more than 10 yrs) and high cholesterol values (PR = 2.58; CI = 1.07-6.27), a result that deserves additional study. Working nights more than four times per 2-week span was related to complaints about insufficient time for children (PR= 1.96; CI = 1.38-2.78) and rest/leisure (PR= 1.54; CI = 1.20-1.99). These results can be related to the "social value of time," as evenings and nights are when families usually spend time together. The complexity of the professional life and the consequent heterogeneity of the group of workers under shift-work schemes confound the results. More in-depth study of the questions raised here demands a more sophisticated epidemiological treatment an...
The association between working hours and work ability was examined in a cross sectional study of male (N=156) and female (N=1092) nurses in three public hospitals. Working hours were considered in terms of their professional and domestic hours per week and their combined impact; total work load. Logistic regression analysis showed a significant association between total work load and inadequate work ability index (WAI) for females only. Females reported a higher proportion of inadequate WAI, fewer professional work hours but longer domestic work hours. There were no significant differences in total work load by gender. The combination of professional and domestic work hours in females seemed to best explain their lower work ability. The findings suggest that investigations into female well-being need to consider their total work load. Our male sample may have lacked sufficient power to detect a relationship between working hours and work ability.
This paper deals with the impact of night work from a gender perspective, through a field study at a factory employing men and women on the night shift. It is based on data for
Job strain, derived from high psychological demands and low job control, is associated with insomnia, but information on the role of emotional demands and social support in this relationship is scarce. The aims of this study were (i) to test the association between job strain and self-reported insomnia symptoms, (ii) to evaluate the combination of emotional demands and job control regarding insomnia symptoms, and (iii) to analyze the influence of social support in these relationships. This cross-sectional study refers to a sample of nurses (N = 3,013 and N = 3,035 for Job Strain and Emotional demand-control model, resp.) working at public hospitals in Rio de Janeiro, Brazil. Data were collected through a self-report questionnaire. The prevalence of insomnia symptoms was 34.3%. Job strain was associated with increased odds for insomnia symptoms (OR: 2.20); the same result was observed with the combination of emotional demands and low job control (OR: 1.99). In both models, the inclusion of low social support combined with high demands and low job control led to increased odds for insomnia symptoms, compared to groups with high social support from coworkers and supervisors. Besides job strain, the study of emotional demands and social support are promising with regards to insomnia symptoms, particularly among nurses.
Objective: to analyse the differences between genders in the description in the professional, domestic and total work hours and assess its association with health-related behaviour among nurses. Methods: this is a transversal study carried out in 18 different public hospitals in the municipality of Rio de Janeiro. The data collection procedure was based on questionnaires. All nurses working with assistance were considered eligible (n=2,279). Results: men and women showed significant differences in relation to working hours. The female group showed longer domestic and total work hours when compared to the group of men. In contrast, the number of hours spent on professional work was higher among men. For the women, both the professional hours and total work hours were often associated with excessive consumption of fried food and also coffee, lack of physical exercise and also the greater occurrence of overweight and obesity.Conclusion: both the professional hours and the domestic work hours need to be taken into account in studies about health, self-care and also the care provided within the context of nursing workers, particularly among women. The results add weight to the need for actions for health promotion in this occupational group and the importance of assessing the impact of long working hours on the health of workers.
ObjectiveTo assess whether reported morbidity and complaints of lack of time and sleep are associated with the burden of professional work and housework among nurses. Methods A cross-sectional exploratory study was carried out among female nurses and nurse assistants (N=206) of a public hospital in Rio de Janeiro, Brazil. Data were collected by means of a questionnaire. The prevalence ratio and 95% confidence intervals were estimated. Results Mean duration of professional work and housework time was 40.4 and 31.6 hours/ week, respectively. Long professional working time (over 44 hours/week) were associated with mild emotional disorders (PR=1.37; 95% CI: 1.05-1.80), complaints of lack of time for resting/leisure (PR=1.61; 95% CI: 1.31-1.97), housework (PR=1.48; 95% CI: 1.12-1.97), and childcare (PR=1.99; 95% CI: 1.51-2.63). Long housework time (over 28 hours/week) was associated with lower prevalence of lack of time for childcare (PR=0.62; 95% CI: 0.46-0.84). High housework load was associated with lack of personal time and complaints of varicose veins (PR=1.31; 95% CI: 1.14-1.50 and PR=1.31; 95% CI: 1.08-1.58, respectively). Complaints of varicose veins were also frequent among female nurses with a total work load above 84 hours (PR=1.30; 95% CI: 1.05-1.61), though this group has shown a lower prevalence of arterial hypertension and recurrent headaches (PR=0.35; 95% CI: 0.15-0.83 and PR=0.53; 95% CI: 0.32-0.89, respectively). ConclusionsResults suggest that both professional and home environments are relevant in the evaluation of work overload on nurses' health and their family and social life. It is stressed the need for instruments for analyzing total workload among female populations. Resumo ObjetivoAvaliar a associação entre a carga de trabalho profissional e doméstico com doenças e queixas sobre o sono e falta de tempo em enfermeiras.
BackgroundEmployees working night shifts are at a greater risk of being overweight or obese. Few studies on obesity and weight gain analyze the years of exposure to night work. The aim of this study was to determine the relationship between the years of exposure to night work and body mass index (BMI) among registered nurses.MethodsA cross-sectional analysis was performed in 18 largest public hospitals in Rio de Janeiro, Brazil. A total of 2,372 registered nurses (2,100 women) completed a comprehensive questionnaire concerning sociodemographic, professional, lifestyle, and health behavioral data. Current and past exposures to night shifts as well as BMI values were measured as continuous variables. A gamma regression model was used with an identity link function to establish the association.ResultsThe association between years of exposure to night work and BMI was statistically significant for both women and men after adjusting for all covariates [β = 0.036; CI95% = 0.009–0.063) and β = 0.071 (CI95% = 0.012–0.129), respectively]. The effect of night work was greater among men than women. For example, for those women who have worked at night for 20 years the estimated average BMI was 25.6 kg/m2 [range, 25.0–26.2]. In relation to men, after 20 years of exposure to night work the estimated average BMI was 26.9 kg/m2 [range, 25.6–28.1].ConclusionsThese findings suggest that night shift exposure is related to BMI increases. Obesity prevention strategies should incorporate improvements in work environments, such as the provision of proper meals to night workers, in addition to educational programs on the health effects of night work.
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