Ovarian Cancer And Endometrial Cancer - Thesis Example

Evidence of excess weight and obesity among individuals in Saudi Arabia is noted in various sources of literature. In particular, Al Asiri et al. (2012) note that in Saudi Arabia, cases of having a BMI (body mass index) of over 30 kgm-2 have been noted to be on the rise among both males and females across all age groups with a general incidence of 44 percent in Saudi Arabian women. Further, results of meta-analysis reported by Al Asiri et al. (2012) indicate that the quantified risk of uterine cancer is 1.59 for each 5kgm-2  rise in BMI, using a 95 percent confidence interval (CI) (95 percent CI: 1.50 to 1.68). Obesity also is indicated to be predominantly linked with type 1 endometrial cancers (referred to as endometroid cancers) as opposed to type 2 endometrial cancers (the non-endometroid types such as carcinosarcoma or serous endometrial cancers) (RCOG 2012, p. 2). Even then, obesity increases the risk of both subtypes of endometrial cancer. Moreover, it has been noted that women are particularly at a higher risk of having uterine cancer when their BMI exceeds 30 kgm-2, and the risk increases linearly with an increase in BMI (RCOG 2012, p. 2).

The occurrence rate of endometrial cancer cases in Saudi Arabia can be analysed by looking at studies that have been conducted in the country in recent times. One such study is the study that was conducted by Alghamdi et al. (2014). Alghamdi et al. (2014) carried out a study that reviewed the epidemiological information on uterine cancer in the Saudi female population. The study focused on the frequency of the disease, its CIR (crude incidence rate), and ASIR (age-standardised incidence rate), modified by region as well as the year when the disease was diagnosed. The methodology of the study was a retrospective and descriptive epidemiological approach that involved analysing all cases of uterine cancer that were reported in the Saudi Cancer Registry (SCR) during the period from 2001 (January) to 2008 (December). Various methods of statistical analysis were used to analyse the data, including analysis of variance, descriptive statistics, simple linear modelling and Poisson regression (Alghamdi et al. 2014, p. 141).