Objective: identify the stress level among nursing undergraduates and the associated sociodemographic and academic factors; to compare stress level among college students according to the training phase in the course. Method: cross-sectional study with 286 university students. The instrument of sociodemographic and academic characterization and the stress scale were applied. The overall stress level was assessed by standardized score. In the bivariate analysis, Pearson’s chi-square or Fisher’s exact test was used, and multiple logistic regression analysis was performed using the Poisson model. Statistical significance of 5% was adopted. Results: higher proportion of college students presented medium/high level of global stress. Students from 6th to 10th semesters presented higher levels of stress compared to those from 1st to 5th, in the Realization of practical activities, Professional Communication (p = 0.014), Environment (p = 0.053) and Vocational Training (p = 0.000) domains). In the multivariate analysis, they contributed to the highest level of stress the variables attending the 6th to 10th semesters, female gender, monthly income ≤ one minimum wage and income considered insufficient. Conclusion: women in a more advanced stage of education and with low economic condition present a higher level of stress in their academic education.

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This is a cross‐sectional study whose objective was to identify clustering of lifestyle behaviors among undergraduate nursing students to inform health promotion efforts and improve health outcomes later in life. All 353 undergraduate nursing students from the School of Nursing in a public university, Bahia, Brazil were invited to participate. The inclusion and exclusion criteria were according to the major project. Participants must be enrolled and attending the 1st to 10th semester, with a minimum age of 18 years. Participants were excluded if they had any physical disabilities that limited the collection of anthropometric measures or were completing an internship off‐campus. A total of 286 undergraduate nursing students met the criteria and completed the survey. The questionnaires included standardized measures for demographic, academic, and lifestyle behaviors (e.g., tobacco use, alcohol use, physical activity level, sedentary behavior, and fruits and vegetables consumed). Latent class analysis was performed to identify any clustering of lifestyle behaviors. Descriptive analyses indicated that 3.1% of the students were smokers, 23.1% consumed alcohol, 34.3% were inactive, 85.0% were sedentary, and 80.8% did not consume recommended amounts of fruits and vegetables. Latent class analysis produced four distinct subtypes of health risk: (a) low‐health risk (33.57%); (b) moderate‐health risk (27.97%); (c) high‐health risk (19.58%); and (d) very high‐health risk (18.88%). Approximately 38.5% of students were in the very high or high‐risk classes. The proportion of students with very high and high‐health risks emphasizes the importance of health promotion programs for university nursing students.

OBJETIVO: descrever as causas mais frequentes de absenteísmo dos trabalhadores de enfermagem. MÉTODO: Revisão bibliográfica sobre o absenteísmo dos profissionais de enfermagem realizada no período de 2010 a 2016. RESULTADOS: As causas mais frequentes de absenteísmo foram doenças do sistema osteomuscular, doenças do aparelho respiratório e doenças mentais. CONCLUSÃO: Os estudos nacionais realizados com a equipe de enfermagem apresentaram como principal causa do absenteísmo-doença as patologias do sistema osteomuscular e os técnicos e auxiliares de enfermagem registram maior número de ausências ao trabalho.

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Objective: to describe the construction and implementation of the nursing protocol for remote monitoring of overweight women. Method: report of experience with 50 women who participated in an intervention study developed in a reference outpatient clinic for obesity in Salvador, Brazil. The steps involved in the development of the protocol consisted of structuring the theoretical content and defining the form of operationalization. Results: the definition of the theoretical content of the protocol was guided by the main guides and guidelines of the Ministry of Health and Scientific Societies and discussion with specialists. A thematic weekly script was developed for phone calls, including content on obesity, its causes and complications, feeding and practicing physical activity for weight control. The protocol was performed in ten weeks, with scheduled weekly connections and duration of five minutes. To guide the team in the operation of telephone calls, a Telephone Call Guide was developed. The information was offered in a flexible way, providing moments for the participant to clarify doubts and to add information, being observed the understanding of the contents. Women noted that monitoring, as well as guiding how they could take better care of themselves, helped to avoid giving up treatment and solving problems with health consultations and procedures. Conclusion: the use of remote nursing monitoring focused on educational actions, has proved to be a tool to support the care of overweight women.

Objective: Examine the evolution of publications on the lifestyle risk behaviors of university students. Methods: Bibliometric research was carried out on using 9011  articles retrieved from the SciELO and Web of Science database. The analyses included, the trend of the production, the most productive countries, journals, institutions, and the relevant information was extracted based on frequency of co-occurrence of keywords between 2009 and 2019 using the bibliometric software, namely VantagePoint, VOSviewer, NetDraw and UCINET. Results: The study revealed a significant concentration of publications between 2014 and 2018 in North American countries, especially the United States. However, the most productive institution was the University of São Paulo (Brazil). Stress, physical inactivity, obesity, and smoking were the risk behaviors most used as keywords in the articles, and these have a strong relationship with other keywords subsets related to mental health, forms of treatment, the study population and lifestyle behaviors. Conclusion: The scientific map of lifestyle risk behaviors among university students was supported by exhaustive research. It was possible by the establishment of research networks between the various centers of knowledge production, especially with the American researchers.