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Wyszukujesz frazę "Szwamel, K." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Somatic symptoms and level of anxiety and depression in self-referral patients at the emergency department
Autorzy:
Lisowska, A.
Szwamel, K.
Kurpas, D.
Powiązania:
https://bibliotekanauki.pl/articles/2088018.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Opolski. Instytut Nauk o Zdrowiu
Tematy:
hospital emergency medical services
patients
anxiety
depression
Opis:
Background: Due to multiple morbidities, patients experience various symptoms that may be of psychogenic or somatic origin. Anxiety and depression can induce somatization and the feeling that ailments require urgent medical intervention. Aim of the study: This study aimed to: (1) identify which symptoms self-referral patients most commonly report at the emergency department (ED) and which medical diagnoses they are discharged with; and (2) determine whether the type and severity of symptoms, as well as, sociodemographic variables are related to anxiety and depression levels. Material and methods: The study included 110 patients who self-referred to the ED at the University Clinical Hospital in Opole. Diagnostic surveys and questionnaires were used, including the Hospital Anxiety and Depression Scale and an original questionnaire developed by the authors. Results: Among those suffering from chronic diseases (n = 53; 48.62%), 12 patients (22.64%) did not complete a single visit to the PHCF (Primary Health Care Facility), and 30 patients (56.60%) did not complete a visit to OSC (Outpatient Specialist Care) during the previous 12 months. The most common cause of reporting to the ED were pain and a burning sensation in the chest (n = 29; 27.10%). During discharge, the most common diagnosis was “other chest pains” (n = 22; 20.00%). 82.73% (n = 91) of patients had clear anxiety disorders, and 68.18% (n = 75) had clear depressive disorders. Conclusions: In case of somatic symptoms without a discernible cause in patients, it is necessary to implement comprehensive measures within PHCF, such as periodic measurements of anxiety and depression severity, psychological consultation, and an in-depth medical interview. These data also suggest that proper clinical monitoring should be implemented, including clinical parameters relevant for chronic diseases and the number of visits to the PHCF and OSC.
Źródło:
Medical Science Pulse; 2020, 14, 1; 21-30
2544-1558
2544-1620
Pojawia się w:
Medical Science Pulse
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative analysis of socioeconomic, behavioral and biological factors between healthy patients and patients with newly diagnosed diabetes in the Lubuskie Voivodeship
Autorzy:
Bonikowska, I.
Jasik-Pyzdrowska, J.
Szwamel, K.
Powiązania:
https://bibliotekanauki.pl/articles/2087637.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Opolski. Instytut Nauk o Zdrowiu
Tematy:
patients
type 2 diabetes mellitus
prediabetic state
Opis:
Background: The most effective way to prevent an increasing diabetic population lies in early detection of risk factors and diagnosis of carbohydrate metabolism disorders. Aim of the study: The study aimed at determining socio-economic variables, lifestyle behaviours and biological factors differentiating patients with newly diagnosed diabetes from diabetes-free individuals. Material and methods: Assessment of diabetic vs. non-diabetic individuals was performed according to the American criteria issued by the Commission on Social Determinants of Health as well as the FINDRISC form, which helps identify patients who are at risk of developing type 2 diabetes on the basis of multi-factorial determinants of its development. The research was conducted in 2018 among 1167 primary health care patients from Lubuskie Voivodeship using a diagnostic survey method which interviewed the respondents according to the FINDRISC standard questionnaire. Results: The group of healthy patients was similar to the group of patients with newly diagnosed diabetes with respect to variables such as age (p=0.713), sex (p=1), place of residence (p=1), level of education (p=0.076), professional activity (p=0.758), BMI (p=0.133), waist measurement (p=0.665), frequency of fruit and vegetables intake (p=0.572), frequency of taking hypotensive medications (p=0.176), frequency of diabetes occurrence in the family history (p=0.227) and physical activity (p=0.321). Conclusions: Early detection of carbohydrate metabolism disorders, with the use of standardised tools that assess diabetes development, appears to be essential in the prevention of this disorder. Therefore, there is a strong need to create a tool adjusted to socio-demographic factors such as geographical location, economic conditions and lifestyle. Additionally, active and massive screening for carbohydrate metabolism disorders in patients with a low risk of diabetes seems to be crucial in its prevention.
Źródło:
Medical Science Pulse; 2020, 14, 3; 55-63
2544-1558
2544-1620
Pojawia się w:
Medical Science Pulse
Dostawca treści:
Biblioteka Nauki
Artykuł
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