Psychosomatic symptoms associated with traumatic events experienced in medical students.

OBJECTIVES: Many facts indicate the important role of psychosomatic symptoms that occur due to traumatic events. This study is an analysis of the coexistence of psychosomatic symptoms and traumatic events. Though not every person taking part in these events develops a fully symptomatic post-traumatic stress disorder (PTSD), psychosomatic symptoms with a strong psychological component are observed in many. This study focuses on a comparison of the intensity of somatization, anxiety, depression, and distress of medical university students, who encountered a traumatic event and those who have not experienced trauma. MATERIAL AND METHODS: The data was collected from 594 students of different academic majors at the Poznan University of Medical Sciences, Poland. The participants were asked if they had experienced situations that caused psychological trauma as well as about the intensity of their psychosomatic symptoms. The data was collected with 2 questionnaires: Post-traumatic Stress Diagnostic Scale and Four-Dimensional Symptom Questionnaire. RESULTS: The study reveals that 78% of students experienced a traumatic event, in 15% moderate and severe symptoms of PTSD are observed, 45% presents average and high stress levels, 23% experiences symptoms of depression, whereas 30% has anxiety and 26% somatic symptoms. CONCLUSIONS: Studies show that experiencing traumatic events in life is linked to the higher intensity of an/the entire range of psychosomatic symptoms. Int J Occup Med Environ Health. 2023;36(5):606-17.

Effect of sleep duration on blood pressure in women over 55 years of age - Poznan Cohort study.

INTRODUCTION: Hypertension is considered to be the most common pathology of the circulatory system and the most common cause of death or cardiovascular diseases' development. There are many commonly known risk factors of this condition, such as overweight, obesity, a high-fat diet, family history of ischemic heart disease, lipid disorders, and atherosclerosis. In order to reduce the effect of high blood pressure, patients should modify their lifestyle, including sleeping patterns. We wanted to investigate if, in a group of women over 55 years of age compared to the general population from Poznan cohort, sleep duration is related to hypertension. MATERIALS AND METHODS: All subjects were divided into three research groups depending on the time of sleep. The first group included people who have been sleeping less than 6 hours a day. The second group included people who have been sleeping from 6 to 9 hours a day. The third group was characterized by people with sleep time over 9 hours a day. Due to their age, participants were divided into two groups, below and over 55 years of age. RESULTS: There is a weak positive correlation between long sleep duration (>9h) and a higher prevalence of unregulated blood pressure (r = 0.3, p = 0.017) in the group of women over 55 years of age. CONCLUSION: Unregulated increased blood pressure may occur more frequently in postmenopausal women whose sleep duration exceeds 9 hours a day.

Arterial Stiffness Parameters Correlate with Estimated Cardiovascular Risk in Humans: A Clinical Study.

Arterial stiffness is said to be a novel predictor of cardiovascular events. This study investigated the correlation between arterial stiffness parameters and the estimated cardiovascular disease risk (RISK) in a Polish cohort of patients divided by age, sex, and body-mass index (BMI). The cross-sectional study enrolled 295 patients who met the inclusion criteria. Subjects were divided into three age groups, four weight groups, and by gender. The stiffness of the vessels was assessed by the measurement of the stiffness index (SI) and reflection index (RI). An individual 10-year RISK was calculated for each patient using the Heart Risk Calculator algorithm by the American Heart Association. A correlation between the SI and estimated RISK was observed (rS 0.42, p < 0.05). The strongest relationship was presented for women, the age group 40-54, and individuals with normal weight. The correlation between RI and calculated RISK was observed (rS 0.19, p < 0.05), the highest correlation was noticed for people aged 40-54 and obese. In conclusion, both SI and RI are correlated with estimated cardiovascular risk, however SI seems to be more useful than RI to predict the individual risk of future cardiovascular events. Both of these can be measured using non-invasive techniques, which demonstrates their potential utility in clinical practice.