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RISS 인기검색어
- 검색키워드
- 저자 : ( Selma Metintas ) (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Knowledge, Attitudes and Behaviors of Women Over 20 Years Old on Cervix Cancer in Istanbul, Turkey
Onsuz, Muhammed Fatih,Hidiroglu, Seyhan,Sarioz, Abdullah,Metintas, Selma,Karavus, Melda Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.20
Purpose: The aim of the study was to evaluate knowledge, attitudes and behaviors of Turkish women over 20 years old on cervix cancer. Materials and Methods: This descriptive study was performed at a primary care center covering 246 women using a questionnaire composed of 3 sections and 38 questions. The data were analyzed using descriptive statistics, chi-square test in univariate analysis and multivariate hierarchical logistic regression analysis. Results: Of the 93.7% women who knew about cervical cancer, 68.0% of them had heard pap smear test and 46.1% had actually undergone a Pap smear once or more throughout their lives. According to the results of the hierarchical logistic regression analysis about factors affecting the Pap smear test; in Model 1, increase in age and education levels, in Model 2 and Model 3 increase in age and cervical cancer information points were determined. The most important information source for cervical cancer was TV-radio/media (59.9%) and health care workers (62.8%) for pap smear test. Conclusions: Although most women have heard of cervical cancer, knowledge about cervical cancer and also Pap smear screening rate are significantly lower. Having Pap smear test for women was affected by age and knowledge level about cervical cancer. Informing women about cervical cancer would be an important intervention.
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Durmus, Hasan,Gokler, Mehmet Enes,Metintas, Selma The Korean Society for Preventive Medicine 2020 예방의학회지 Vol.53 No.6
Objectives: The objective of this study was to demonstrate the effects of community-based social distancing interventions after the first coronavirus disease 2019 (COVID-19) case in Turkey on the course of the pandemic and to determine the number of prevented cases. Methods: In this ecological study, the interventions implemented in response to the first COVID-19 cases in Turkey were evaluated and the effect of the interventions was demonstrated by calculating the effective reproduction number (R<sub>t</sub>) of severe acute respiratory syndrome coro navirus 2 (SARS-CoV-2) when people complied with community-based social distancing rules. Results: Google mobility scores decreased by an average of 36.33±22.41 points (range, 2.60 to 84.80) and a median of 43.80 points (interquartile range [IQR], 24.90 to 50.25). The interventions caused the calculated R<sub>t</sub> to decrease to 1.88 (95% confidence interval, 1.87 to 1.89). The median growth rate was 19.90% (IQR, 10.90 to 53.90). A positive correlation was found between Google mobility data and R<sub>t</sub> (r=0.783; p<0.001). The expected number of cases if the growth rate had not changed was predicted according to Google mobility categories, and it was estimated to be 1 381 922 in total. Thus, community-based interventions were estimated to have prevented 1 299 593 people from being infected. Conclusions: Community-based social distancing interventions significantly decreased the R<sub>t</sub> of COVID-19 by reducing human mobility, and thereby prevented many people from becoming infected. Another important result of this study is that it shows health policymakers that data on human mobility in the community obtained via mobile phones can be a guide for measures to be taken.
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( Semra Can Mamur ),( Omer Colak ),( Selma Metintas ),( Inci Arikan ),( Mehmet Kara ) 한국정맥경장영양학회 2023 한국정맥경장영양학회지 Vol.15 No.3
Purpose: Biomarker for cardiovascular diseases (CVDs) are important in the clinical monitoring of individuals with metabolic syndrome (MetS). The use of these biomarkers in combination may be predictive of CVDs. This study aimed to demonstrate the ability of multiple biomarkers to predict MetS, diabetes mellitus (DM), and CVDs. The use of multiple biomarkers instead of a single biomarker may be more useful in early diagnosis. We investigated the use of a multi-biomarker approach in MetS and associated diseases. Methods: The study was performed by selecting control (n=30), MetS (n=30), MetS+DM (n=30), and MetS+CVD (n=30) groups from data of the Eskisehir Healthy Hearts Project conducted from January 2008 to October 2009 in Turkey. We recorded serum level of biomarkers, including lipid profile, liver enzyme, paraoxonase, arylesterase and arginase to find their difference among the groups. Results: Compared to the control group, gamma-glutamyl transferase (GGT) and arginase levels increased, while paraoxonase and arylesterase activity and high-density lipoprotein-cholesterol levels were low in the patient groups (P<0.001). A negative correlation was observed between paraoxonase and arylesterase activity and MetS. Conclusion: We believe that the combined use of biomarkers, including GGT, arginase, paraoxonase, and arylesterase, may be useful in predicting diseases such as MetS and CVDs.
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