CAC scoring results in a high reclassification rate in the intermediate-risk cohort, demonstrating the benefit of imaging of subclinical coronary atherosclerosis. Our study supports its application, especially in carefully selected individuals with intermediate risk.
Background:In spite of many similarities in the psychopathology of anorexia nervosa (AN) and bulimia nervosa (BN), the 2 groups seem to differ in terms of body image disturbances. Therefore, the aim of the present study was to compare neuronal correlates of viewing photographs of one's own body and another woman's body in patients with these forms of eating disorders as well as controls. Methods: We performed functional magnetic resonance imaging while women with AN (n = 13), BN (n = 15) and healthy controls (n = 27) viewed 16 standardized pictures of their own body and another woman's body, taken while the participants were wearing a bikini. Results: When viewing their own body, participants with AN and BN showed reduced activity in the inferior parietal lobule compared with healthy women. In response to looking at another woman's body, participants with AN had higher amygdala activity than did those in the BN and control groups. Limitations: The generalizability of the results is limited by the small sample size. Conclusion: Our data suggest decreased attentional processes in AN and BN toward one's own body, possibly reflecting body-related avoidance behaviour. Enhanced limbic activity elicited by looking at another woman's body in participants with AN might be a neural correlate of stronger emotional activation and enhanced vigilance, possibly resulting from social comparison processes. Our study reveals hints about body image-associated alterations in brain activity, which seem to be more pronounced among women with AN than among those with BN.
For different reasons interest in dietary protein intake has recently increased in diabetes research. Manipulation of protein ingestion has been used to slow down diabetic nephropathy [1]. Furthermore, epidemiological studies indicate that the quantity and quality of protein ingestion affects the expression of Type I (insulin-dependent) diabetes mellitus [2,3]. We have previously shown that a high protein diet accelerates the progression of the autoimmune loss of endogeneous insulin secretion in patients with Type I diabetes [4,5]. In general, high protein ingestion could be more detrimental in clinical situations with impaired glucose tolerance than is recognized; there is evidence that high protein intake promotes diabetes. Therefore, more knowledge is needed to decide in what way high dietary protein intake changes glucose metabolism in humans.The protein supplied by a meal is a major stimulator of insulin secretion [6]. Dietary protein potential- Diabetologia (2000) Results. Glucose-stimulated insulin secretion was increased in the high protein group (516 45 pmol/l vs 305 32, p = 0.012) due to reduced glucose threshold of the endocrine beta cells (4.2 0.5 mmol/l vs 4.9 0.3, p = 0.031). Endogeneous glucose output was increased by 12 % (p = 0.009) at 40 pmol/l plasma insulin in the high protein group, but not at higher insulin concentration whereas overall glucose disposal was reduced. Fasting plasma glucagon was 34 % increased in the high protein group (p = 0.038). Fractional gluconeogenesis was increased by 40 % in subjects receiving a high protein diet as determined by both methods. Conclusion/interpretation. High protein diet is accompanied by increased stimulation of glucagon and insulin within the endocrine pancreas, high glycogen turnover and stimulation of gluconeogenesis. [Diabetologia (2000
Accidental non-coronary pathology is a frequent finding in electron-beam tomographic calcium scanning, and often requires diagnostic or therapeutic action. Profound knowledge of the radiological differential diagnosis of the thoracic organs is necessary for reporting electron-beam tomographic scans, in order to avoid misdiagnosis and to receive a high quality interpretation.
We conclude that characteristic spectral bands that increase in spectral density at different rates during the second and third trimester may be identified. They most likely reflect developmental changes and behavioral states during pregnancy.
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