Measures of preoperative anxiety: Part two.

The current literature indicates that routine evaluation of preoperative anxiety, its determinants, and patient-specific concerns is universally advocated. This aligns with the increasingly acknowledged importance of prehabilitation - a comprehensive process preparing patients for surgery. A crucial component of prehabilitation is assessing patients' mental health. Recommendations for psychological evaluations in prehabilitation encompass, inter alia, determining the severity of anxiety. This work builds on a 2019 article, which presented scales for preoperative anxiety assessment: the State Trait Anxiety Inventory (STAI), the Hospital Anxiety and Depression Scale (HADS), the Amsterdam Preoperative Anxiety and Information Scale (APAIS), and the Visual Analogue Scale (VAS). This article extends the possibilities of preoperative anxiety assessment by introducing four additional methods: the Surgical Fear Questionnaire (SFQ), the Anxiety Specific to Surgery Questionnaire (ASSQ), the Surgical Anxiety Questionnaire (SAQ), and Anesthesia- and Surgery-dependent Preoperative Anxiety (ASPA). The authors provide comprehensive details on these instruments, including scoring, interpretation, availability, and usefulness both in scientific research and clinical practice. The authors also provide the data on the availability of Polish versions of the presented methods and preliminary data on the reliability of SFQ in patients awaiting cardiac surgery. This review seems relevant for professionals in multiple disciplines, including anesthesiology, surgery, clinical psychology, nursing, primary care and notably prehabilitation. It emphasizes the necessity of individualizing anxiety assessment and acknowledging patient subjectivity, which the presented methods facilitate through a thorough evaluation of specific patient concerns. The literature review also identifies concerns and future research avenues in this area. The importance of qualitative studies and those evaluating prehabilitation intervention is emphasized.

Cardiovascular risk factors among Polish employees of uniformed services.

OBJECTIVES: Employees of uniformed services (EoUS) were screened for cardiovascular risk factors. MATERIAL AND METHODS: A total of 1138 EoUS (age M±SD 49.9±6.0 years) and 263 controls (age M±SD 54.4±9.7 years) under the care of the cardiology clinic in Gdansk, Poland, were included in the study. Medical history and blood samples were collected, and a physical examination was performed. Ten-year cardiovascular risk of death was calculated using the systematic coronary risk evaluation (SCORE) risk algorithm for high-risk countries. RESULTS: Significantly higher values of mean systolic and mean diastolic blood pressure, mean total cholesterol level and mean BMI were recorded among the EoUS compared to controls (M±SD 141.7±11.6 mm Hg vs. 135.5±11.0 mm Hg, p < 0.001; 90.1±5.9 mm Hg vs. 84.5±6.8 mm Hg, p < 0.001; 6.01±0.76 mmol vs. 5.44±0.87 mmol, p < 0.001; 29.3±4.7 vs. 29.0±4.1, p < 0.001, respectively). Smoking cigarettes was most frequently reported by the youngest group (20-39 years old) - 47.7% and it was significantly higher in the entire EoUS group compared to control group (35.5% vs. 16.7%, p = 0.001). The occurrence of observed risk factors (blood pressure ≥140/90 mm Hg, total cholesterol concentration >5 mmol, smoking,) was significantly higher among EoUS compared to controls (92.1% vs. 57.8%, p < 0.001; 89.0% vs. 66.9%, p < 0.001; 35.5% vs. 16.7%, p < 0.001, respectively). In the male group, the mean calculated ten-year risk of fatal cardiovascular events, the percentage of high calculated risk, and very high risk were higher in the EoUS group compared to controls (M±SD 4.44±3.49 vs. 4.23±3.86, p = 0.001; 23.7% vs. 20.2%, p = 0.007; 7.4% vs. 6.5%, p = 0.03, respectively). CONCLUSIONS: The prevalence of all identified risk factors was found to be higher among employees of uniformed services when compared to the control group. The presence of these risk factors within the population of uniformed service employees results in a greater risk of mortality from cardiovascular diseases. Int J Occup Med Environ Health. 2023;36(5):656-71.

Cardiovascular risk factors determined via the Internet in 2 periods of time: 2004-2009 and 2010-2015 in Poland.

OBJECTIVES: Web information systems may serve as a diagnostic tool for the Internet users and they also support the epidemiological work of doctors and health care providers. As part of this study, a system has been created for detecting and calculating cardiovascular risk. The aim of this study has been the comparison of cardiovascular risk factors and calculated fatal cardiovascular risk in 2 periods of time: 2004-2009 and 2010-2015 in Poland, as determined via the Internet. MATERIAL AND METHODS: The "Ryzyko program" ("Risk program") is available on the website of the Medical University of Gdansk. To assess the cardiovascular death risk in a 10-year period, the algorithm of the SCORE (Systematic Coronary Risk Evaluation) project was used and 30 402 results of the algorithm have been analyzed. RESULTS: Over 30 402 webpage visitors entered the required data and received the outcome. More than 78% of the Internet users who had entered the data, received a recommendation for medical check-up. Significant differences between the data collected in 2004- 2009 and 2010-2015 were noticed. Hypercholesterolemia prevalence (67.3% vs. 70.8%; p < 0.001), mean total cholesterol concentration in blood (5.60±1.65 mml/l vs. 5.66±1.35 mml/l; p < 0.001), prevalence of hypertension (36.6% vs. 35.3%; p = 0.039), mean systolic blood pressure (131.5±20.3 mm Hg vs. 132.6±18.0 mm Hg; p < 0.001), prevalence of declared smoking (30.7% vs. 26.5%; p < 0.001), declared diabetes mellitus (DM) (6.4% vs. 9.7%; p < 0.001), and declared coronary artery disease (CAD) (7.2% vs. 14.1%; p < 0.001), respectively. CONCLUSIONS: The prevalence of cardiovascular risk factors has changed during the observed period of time. Online automatic gathering of new data by "Ryzyko program" provides up-to-date observations. Int J Occup Med Environ Health 2017;30(3):499-510.