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Obesity has long been linked with various diseases and with premature death. Associations are well recognized with type 2 diabetes, hypertension, dyslipidaemia and vascular disease commonly grouped together as the metabolic syndrome and with osteoarthritis, sleep apnoea and the polycystic ovarian syndrome (PCOS). Obesity has also been implicated as a risk factor for many other diseases, including several malignancies and chronic renal failure (see Table 9.1). Wolf and Colditz (1998) and James et al. (2004) have estimated the proportion of total risk of developing several major diseases that can be attributed to obesity. There are some discrepancies between the two reports, probably due to differences in the study populations and sampling periods (Wolf and Colditz used only American data from the 1988 and 1994 National Health Interview Survey). Overall, however, obesity appears to contribute about 60% of the total risk for type 2 diabetes, up to 40% of that for hypertension and endometrial carcinoma, 20 30% of the risk for coronary heart disease, stroke, osteoarthritis and gall-bladder disease, and about 10% for carcinoma of the breast and colon (Figure 9.1). The relationship between risk and BMI varies considerably among these diseases, with the risk for type 2 diabetes rising particularly sharply as BMI increases above the normal range (Figure 9.2, and Figure 9.9 on page 226). This chapter reviews the key epidemiological evidence linking obesity to its main comorbidities and premature death, and touches on some of the possible aetiological mechanisms. We shall also discuss the predictive value of the various measures of obesity, and how risk is modulated by factors such as gender, ethnic origin, physical tness and smoking. Detailed accounts of the pathophysiology, clinical features and management of the major comorbidities can be found elsewhere in this book, namely type 2 diabetes

Thus, with the irradiance I1 and I2 in two planes symmetrically located with respect to the pupil z 0 , we obtain the left term of this expression. This gives us the Laplacian of W(x, y) (average local curvature) for all points inside the aperture and the wavefront slope @W/@n around the pupil s edge P(x, y), as a Neumann boundary condition, to be used when solving Poisson s equation. The two planes on which the irradiance has to be measured are symmetrically located with respect to the diffracting pupil. In other words, one plane is real because it is located after the pupil, but the other plane is virtual because it is located before the pupil. In practice this problem has an easy solution because the diffracting aperture is the pupil of a lens to be evaluated, typically a telescope objective. As we see in Figure 11.28, a plane at a distance l inside the focus is conjugate to a plane at a distance z after the pupil. On the contrary, if a small lens with focal length f/2 is placed at the focus of the objective, a plane at a distance l outside the objective focus is conjugate to a plane at a distance z before the pupil. In both cases the distance z and the distance l are related by z f f l l 11:24

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