Risk Factors for Ovarian Cancer among Libyan Women
Keywords:Ovarian cancer, Risk factors, Binary logistic regression, Libya.
Ovarian cancer is the third type of gynecologic cancer in terms of prevalence after cervical and uterine
cancer. The disease is known as the silent killer as it is slowly spread without a diagnosis, which leads to the
worst prognosis and high mortality rate. Libya shows low disease incidence while the high mortality rate is
seen in developed countries due to a lack of proper diagnostic and treatment options. This research aims to
understand the various risk factors of ovarian cancer among the women in Libya. A questionnaire is used
in a quantitative research methodology using stratified random sample over the population is divided in two
classes namely healthy and diseased, based on earlier diagnosis and ovarian cancer care. The diseased and
healthy women were targeted in a written survey in different hospitals and clinics in Libya. The data analysis
is done in four stages. The first stage is cleaning and coding of the data. The second step is the demographic
profile of the respondents. The third stage. Frequency distribution of the data in order to compare the healthy
and diseased women. The fourth stage is the linear logistic regression in order to determine the risk factors
for ovarian cancer and test the research hypotheses. The logistic regression analysis indicated good fit of the
model. The model was able to correctly predicted 81.4 % of the cases which is 19.6 % increase over the null
model. The logistic regression analysis was also used to indicate the predictors namely family history, level
of obesity, ovulation information, use of birth control and breast feeding unlike awareness, nature of diet
which was not predictor in the model.
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