This study has valuably strengthened our understanding of the genetic-environmental influences on obesity, by assessing weight status of offspring when they are middle-aged, when adiposity status is well established.
The use of immunohistochemistry (IHC) assays to evaluate ER and PR status and the use of IHC and fluorescence in situ hybridization to evaluate HER2 status are well established in the clinical evaluation of newly diagnosed invasive breast carcinomas.
Indeed, several such markers, such as tumour grade and estrogen receptor (ER) status are well established.
The negative impact of Type 2 diabetes on health status is well established [ 1].
The analysis of interactions with categorical variables such as sex and performance status is well established and reasonably straightforward.
Socioeconomic status, although well established as a risk for obesity and type 2 diabetes, has been less well correlated with GDM (13– 13).
Another potential explanation for the lack of association is the difference in parity status, a well established determinant of breast density [ 6], between mothers and daughters.
While the link between diabetes patients with comorbid diseases and poor health status is well established, our study is novel because it looked at a group of people with well-controlled type 2 diabetes.
Over the years, several reports on endometrial cancer and prognostic factors have been published, and the impact of age, histologic type and grade, Federation of Gynecology and Obstetrics (FIGO) stage, ploidy, and hormone receptor status is well established (Amant et al, 2005).
Also education and the related socioeconomic status are well established determinants for CHD as low education and socioeconomic disadvantage are linked to a higher risk of cardiovascular mortality and morbidity [ 57].
Patient-reported outcomes, including health-related quality of life (HRQoL), symptoms, and functional status, are well established and useful in oncology for describing the clinical disease course, helping to select optimal treatment, or comparing populations of cancer patients with those having other diseases and with the general population [ 5- 9].
