http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Gokdemir Ozden (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Gokdemir Ozden,Pak Halil,Bakola Maria,Bhattacharya Sudip,Hoedebecke Kyle,Jelastopulu Eleni 대한감염학회 2020 Infection and Chemotherapy Vol.52 No.4
Background: The coronavirus disease 2019 (COVID-19) pandemic has affected every country on earth, and family physicians (FPs) have helped patients at every stage. The first objective of our study was to study the FPs' knowledge about COVID-19 and second objective was to assess their attitudes, stress and death anxiety surrounding the current pandemic. Materials and Methods: An online questionnaire was prepared to collect responses from FPs between March-April 2020. A descriptive and correlational design was utilized. Results: 240 FPs from eight countries were evaluated. The majority reported that they received most information from medical journals (77%). Most of the respondents also noted that the most common symptoms were acute respiratory syndrome and fever - with the most effective treatment in most cases consisting of symptomatic treatment (41%). Although FPs generally had a positive attitude, most of them (68%) were concerned about contacting COVID-19 from patients and as a result, they experienced increased stress (64%). Conclusion: The research was conducted during the COVID-19 outbreak while the FPs were working on the frontline of the pandemic. This research revealed that most of the FPs had good knowledge of, and a positive attitude towards COVID-19 treatment. It was observed that participants who tended towards conscientiousness, emotional stability, and openness to experience, and who had higher life satisfaction, and lower levels of death anxiety also reported more positive attitudes towards COVID-19. While the main target population of COVID-19 disease were the older age groups, FPs' attitudes and fear levels were not associated with age, gender, or years of experience.
-
Family History Attributes and Risk Factors for Breast Cancer in Turkey
Gokdemir-Yazar, Ozden,Yaprak, Seval,Colak, Muhteber,Yildirim, Ediz,Guldal, Dilek Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.6
Background: When dealing with breast cancer, early detection is closely associated with determining and closely monitoring high risk groups. The aim of this study was to determine the preventable risk factors that are specific for our country, and to understand which risk factors were most predominant. Materials and Methods: The study was planned as a case-control design. Women diagnosed with breast cancer who visited the Surgery, Obstetrics and Gynaecology, and Radiation Oncology outpatient clinics of the Izmir Dokuz Eylul University (DEU) School of Medicine were accepted as the case group. Then a control group matched for age was established among females who visited the outpatient clinics on the same days. A questionnaire prepared by the researchers was implemented using a face-to-face interview technique. The Mann-Whitney U test was used in the comparisons of the group averages, and the Pearson chi-square test in the comparisons between groups. In order to determine the dominant risk factors, binary logistical regression test was implemented. Results: A total of 138 patients, 69 cases and 69 controls, were included in the study. A significant difference can be detected between the groups in terms of BMI, smoking, breast cancer prevalence among first degree family members, presence of breast cancer among distant family members, existence of other types of cancers among family members and the age of onset of menopause (p<0.05). Logistical regression analysis revealed that the presence of breast cancer among first degree relatives increased the risk of developing breast cancer 5.7 times. Conclusions: Although some results of this study are compatible with findings in the literature, some are not. In order to determine unique risk factors, there is a clear need for large-scale studies.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
