The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform
Putu Suri Saraswati - One of the best experts on this subject based on the ideXlab platform.
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the risk factors of menstruation cycle and lifestyle to the prevalence of the Ovary Cyst in general hospital district in konawe
INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD), 2019Co-Authors: Putu Suri SaraswatiAbstract:Background: In Indonesia the incidence of ovarian Cysts in 2015 as many as 23,400, people are expected to die as many as 13,900 people (59.40%). Preliminary studies shows that in BLUDs Konawe Hospital, Medical Records Data Obtained data on cases of ovarian Cysts in 2016 as many as 57 people, in 2017 were 62 people, while In 2018, there were 87 cases.The purpose of this study was to Determine the risk factors for ovarian Cysts at the Regional Public Service Board of Konawe Hospital. Methods:This is a case control study. The population of the case were all the Patients with ovarian Cyst in 2018 as many as 106 people. Population control Patients were all admitted in Midwifery both outpatient and inpatient undiagnosed ovarian Cyst in 2018 as many as 1,396 people. Sampling was done by simple random sampling. Controls were taken by purposive sampling method using a matching age. Data were collected through questionnaires and Analyzed using odds ratios (OR). Results: The results Showed that the odds ratio of the menstrual cycle = 2,918 and lifestyle with OR = 12 969. Therefore the value of the odds ratio (OR? 1) then all variables are risk factors for the incidence of ovarian Cysts. Conclusion: Conclusion of this study is menstrual cycles and lifestyle being the risk factor to the incidence of ovarian Cysts in BLUDs Konawe.
Mohd Tahir Ismail - One of the best experts on this subject based on the ideXlab platform.
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modeling symptoms and risk factors towards size of benign Ovary Cyst
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019), 2020Co-Authors: Siti Zulaikha Mohd Jamaludin, Adnin Adawiyah Makhul, Mohd Shareduwan Mohd Kasihmuddin, Ayu Kustiani, Sollehin Ab Rahim, Mohd Tahir IsmailAbstract:There were many cases reported for ovarian Cysts and it was difficult to recognize the size of Cyst whether it is a large or a small Cyst. Thus, this research was conducted to predict the size of benign Cysts according to the patient’s symptoms and its risk factors, to analyze the relationship between the size of benign Cyst and the type of surgical procedures that the patient needs to undergo and to obtain which variable gives most important effect to the model. Retrospective observation study has been applied in this research since the data was collected from the monthly census file for year 2016 in Ward of Obstetrics and Gynecology from Hospital A, Johor Bahru. From the 89 patients of benign ovarian Cysts, only 26 of the patient have small Cysts and the other 63 patients have large benign Cysts. From analysis, it found that the significant symptoms towards the predicting of Size of Benign Cyst were Abdominal Pain and Intermenstrual Bleeding. There were no significant for the risk factors. There was a significant relationship between the Size of Benign Cysts and the Type of Surgical Procedure. From the association, it can be concluded, if the patient had a large size of Cysts, they will need to undergo laparotomy surgery. By using log-linear analysis, it is found that the most important effect in model was Type of Operation.
Siti Zulaikha Mohd Jamaludin - One of the best experts on this subject based on the ideXlab platform.
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modeling symptoms and risk factors towards size of benign Ovary Cyst
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019), 2020Co-Authors: Siti Zulaikha Mohd Jamaludin, Adnin Adawiyah Makhul, Mohd Shareduwan Mohd Kasihmuddin, Ayu Kustiani, Sollehin Ab Rahim, Mohd Tahir IsmailAbstract:There were many cases reported for ovarian Cysts and it was difficult to recognize the size of Cyst whether it is a large or a small Cyst. Thus, this research was conducted to predict the size of benign Cysts according to the patient’s symptoms and its risk factors, to analyze the relationship between the size of benign Cyst and the type of surgical procedures that the patient needs to undergo and to obtain which variable gives most important effect to the model. Retrospective observation study has been applied in this research since the data was collected from the monthly census file for year 2016 in Ward of Obstetrics and Gynecology from Hospital A, Johor Bahru. From the 89 patients of benign ovarian Cysts, only 26 of the patient have small Cysts and the other 63 patients have large benign Cysts. From analysis, it found that the significant symptoms towards the predicting of Size of Benign Cyst were Abdominal Pain and Intermenstrual Bleeding. There were no significant for the risk factors. There was a significant relationship between the Size of Benign Cysts and the Type of Surgical Procedure. From the association, it can be concluded, if the patient had a large size of Cysts, they will need to undergo laparotomy surgery. By using log-linear analysis, it is found that the most important effect in model was Type of Operation.
Adnin Adawiyah Makhul - One of the best experts on this subject based on the ideXlab platform.
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modeling symptoms and risk factors towards size of benign Ovary Cyst
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019), 2020Co-Authors: Siti Zulaikha Mohd Jamaludin, Adnin Adawiyah Makhul, Mohd Shareduwan Mohd Kasihmuddin, Ayu Kustiani, Sollehin Ab Rahim, Mohd Tahir IsmailAbstract:There were many cases reported for ovarian Cysts and it was difficult to recognize the size of Cyst whether it is a large or a small Cyst. Thus, this research was conducted to predict the size of benign Cysts according to the patient’s symptoms and its risk factors, to analyze the relationship between the size of benign Cyst and the type of surgical procedures that the patient needs to undergo and to obtain which variable gives most important effect to the model. Retrospective observation study has been applied in this research since the data was collected from the monthly census file for year 2016 in Ward of Obstetrics and Gynecology from Hospital A, Johor Bahru. From the 89 patients of benign ovarian Cysts, only 26 of the patient have small Cysts and the other 63 patients have large benign Cysts. From analysis, it found that the significant symptoms towards the predicting of Size of Benign Cyst were Abdominal Pain and Intermenstrual Bleeding. There were no significant for the risk factors. There was a significant relationship between the Size of Benign Cysts and the Type of Surgical Procedure. From the association, it can be concluded, if the patient had a large size of Cysts, they will need to undergo laparotomy surgery. By using log-linear analysis, it is found that the most important effect in model was Type of Operation.
Mohd Shareduwan Mohd Kasihmuddin - One of the best experts on this subject based on the ideXlab platform.
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modeling symptoms and risk factors towards size of benign Ovary Cyst
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019), 2020Co-Authors: Siti Zulaikha Mohd Jamaludin, Adnin Adawiyah Makhul, Mohd Shareduwan Mohd Kasihmuddin, Ayu Kustiani, Sollehin Ab Rahim, Mohd Tahir IsmailAbstract:There were many cases reported for ovarian Cysts and it was difficult to recognize the size of Cyst whether it is a large or a small Cyst. Thus, this research was conducted to predict the size of benign Cysts according to the patient’s symptoms and its risk factors, to analyze the relationship between the size of benign Cyst and the type of surgical procedures that the patient needs to undergo and to obtain which variable gives most important effect to the model. Retrospective observation study has been applied in this research since the data was collected from the monthly census file for year 2016 in Ward of Obstetrics and Gynecology from Hospital A, Johor Bahru. From the 89 patients of benign ovarian Cysts, only 26 of the patient have small Cysts and the other 63 patients have large benign Cysts. From analysis, it found that the significant symptoms towards the predicting of Size of Benign Cyst were Abdominal Pain and Intermenstrual Bleeding. There were no significant for the risk factors. There was a significant relationship between the Size of Benign Cysts and the Type of Surgical Procedure. From the association, it can be concluded, if the patient had a large size of Cysts, they will need to undergo laparotomy surgery. By using log-linear analysis, it is found that the most important effect in model was Type of Operation.