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Home of Kyle J. Norton for The Better of Living & Living Health Obesity is defined as a medical condition of excess body fat has accumulated overtime, while overweight is a condition of excess body weight relatively to the height. According to the Body Mass Index(BMI), a BMI between 25 to 29.9 is considered over weight, while a BMI of over 30 is an indication of obesity. According to the statistic, 68% of American population are either overweight or obese. Clinically Overweight and obesity are defined indicators of a disease process characterized by the accumulation of body fat due to an excess of energy intake (nutritional intake) relative to energy expenditure (physical activity)(a).
Lymphoma is defined as a condition of cancer in the lymphatic cells (lymphocytes) of the immune system originated in lymph nodes. It represents a group of over 20 types of cancers. Since it is a cancer in the lymph nodes, it tends to begin with several places simultaneously and spread slowly or quickly to distant parts of body, depending to the grade of the cancer.
Lymphocytes are white blood cells in the lymph nodes and bone marrow.
Body mass index and risk of non-Hodgkin’s and Hodgkin’s lymphoma
In a meta-analysis of prospective studies to summarise the epidemiologic evidence regarding the association of body mass index (BMI) with non-Hodgkin’s lymphoma (NHL) and Hodgkin’s lymphoma (HL) incidence and NHL mortality, showed that RRs for a 5 kg/m(2) increase in BMI were 1.07 (95% confidence intervals (CI), 1.04-1.10) for NHL incidence (16 studies, n=17,291 cases) and 1.14 (95% CI, 1.04-1.26) for NHL mortality (five studies, n=3407 cases). BMI was significantly positively associated with risk of diffuse large B-cell lymphoma (RR, 1.13; 95% CI, 1.02-1.26), but not other NHL subtypes.
BMI is positively associated with risk of NHL and HL as well as with NHL mortality(2).
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Sources
(a) http://www.ncbi.nlm.nih.gov/pubmed/19107429
(2) http://www.ncbi.nlm.nih.gov/pubmed/21733676 http://medicaladvisorjournals.blogspot.com
Yet another person implying causation from correlation. Your premise is faulty on the face of it. This research is being skewed and it should IN NO WAY be implied that one causes the other. Please learn the very basics of scientific research.