Background/Objectives Occupational burnout is a significant health concern among healthcare professionals, particularly among nurses working in anesthesiology and intensive care units who are exposed to high psychological workload. Previous studies indicate a relationship between burnout and deteriorating mental health; however, the role of individual burnout dimensions in shaping overall mental health remains insufficiently explored. Methods: This cross-sectional study included 842 nurses working in anesthesiology and intensive care units. Occupational burnout was assessed using the Oldenburg Burnout Inventory (OLBI), while mental health was evaluated using the General Health Questionnaire (GHQ-28). Sociodemographic variables and subjective assessment of work–life balance were also included. Statistical analyses comprised non-parametric tests, Spearman’s rank correlation, and multiple regression models. Results: The strongest correlations were observed between the exhaustion dimension and the overall GHQ-28 score (rS = 0.539; p < 0.001). Additionally, poorer work–life balance was associated with increased symptoms of mental health disorders (rS = 0.42; p < 0.001). Regression analysis showed that gender, exhaustion, and work–life balance were significant predictors of mental health (p < 0.001). Conclusions: The results indicate a significant relationship between occupational burnout and mental health in nurses working in anesthesiology and intensive care units. In particular, exhaustion and work–life balance were identified as important predictors of mental health outcomes.

Background: Midwives, despite their health-promoting role, face factors that may disrupt eating behaviours and weight regulation. Little is known about their body weight perception or disordered eating attitudes (DEAs). This study assessed body weight perception and eating attitudes across BMI categories among Polish midwives. Methods: A cross-sectional survey of 568 midwives was conducted. BMI was calculated from self-reported measures and classified according to WHO criteria. Body weight perception was assessed using discrepancies between actual and ideal body weight and between self-perceived ideal body weight and ideal body weight. Long-term weight variability was additionally evaluated using the difference between maximum and minimum adult body weight. Eating attitudes were examined using the Polish version of the EAT-26. Group differences were analysed with the Kruskal–Wallis and χ² tests. Results: Among the participants, 62.9% had normal weight, 23.4% were overweight, and 13.7% were obese. Perceived ideal body weight increased with BMI (p < 0.001). Midwives with overweight and obesity demonstrated higher EAT-26 scores than those with normal BMI, with EAT-26 > 20 observed in 8.3% of overweight and 14.1% of obese participants (p = 0.010). Overweight and obese midwives also showed larger discrepancies between actual and ideal body weight and greater lifetime weight variability, and these groups simultaneously presented higher levels of disturbed eating attitudes. Emotional eating, binge-type episodes, and dieting behaviours were more common among overweight and obese participants, while calorie awareness remained consistently high across groups. Conclusions: Midwives with excess body weight often misperceive their body size and show an elevated risk of DEA. Weight perception appears more strongly related to maladaptive eating patterns than BMI alone. These findings highlight the need for targeted, non-stigmatising interventions addressing weight perception, eating attitudes, and occupational stressors, which may support both midwives’ well-being and their professional effectiveness in delivering nutrition and lifestyle counselling.

Specific occupational factors among midwives—such as shift work, night duties, and significant professional responsibilities—are likely to contribute to a high perceived workload within this group. These factors may increase the risk of nutrition-related health issues, including abnormal body weight and disordered eating behaviors. Despite growing awareness of these concerns, research examining the predictors of nutrition-related health risks among midwives remains limited. The present study aimed to assess the prevalence and key occupational predictors of such risks in this population. A cross-sectional preliminary study was conducted among 703 midwives in Poland. Disordered eating behaviors were evaluated using the Eating Attitudes Test-26 (EAT-26), while workload intensity was measured with the Quantitative Workload Inventory (QWI). Additional data on BMI classification, work experience, and night shift history were collected. A Classification and Regression Tree (C&RT) model was used to identify key predictors of nutritional health risk, defined as meeting at least one of the following criteria: abnormal BMI, EAT-26 score > 20, behavioral indicators of disordered eating, or a history of treatment for an eating disorder. Of the participants, 56.76% (n = 399) were classified as being at nutritional health risk. The most salient predictors included work experience (more than 17.5 years), duration of night shift work, and QWI score. Among midwives with over 17.5 years of experience, both night shift duration and QWI score were significant predictors. For those with 17.5 years or less of experience, QWI score was the strongest predictor. Night shift work alone was not a significant factor in the model. Work experience and workload intensity are key predictors of nutrition-related health risks among midwives. Targeted workplace interventions—including schedule optimization, stress management programs, and nutrition-focused education—may help mitigate these risks. Further research is warranted to explore the long-term health consequences of occupational stress in this professional group.