Abstract:
:In this study in 437 women born in 1948 selected from five European towns we show that several anthropometric measurements are consistently and significantly associated with a metabolic risk profile in premenopausal women of 38 years of age. Among the circumferences, breast and waist circumference were, after adjustment for body mass index positively correlated with diastolic blood pressure, serum total cholesterol, HDL-cholesterol (negative associations), serum triglycerides, and serum insulin. The optimal level for measuring waist circumference was determined as being midway between the lower rib margin and the superior anterior iliac crest. Circumference ratios generally did show less consistent and similar or lower correlations with diastolic blood pressure, serum cholesterol and serum insulin. Waist/thigh circumference ratio showed the strongest partial associations with HDL-cholesterol and serum triglycerides among all anthropometric variables studied. The authors conclude that, independently of the degree of fatness, indicators of truncal fat distribution (in the region of the breast as well as the abdomen) are related to an unfavourable risk profile in European premenopausal women. The study gives a rationale for selecting the most informative anthropometric measurements to be added to height and weight in epidemiological studies.
journal_name
Int J Epidemioljournal_title
International journal of epidemiologyauthors
Seidell JC,Cigolini M,Charzewska J,Ellsinger BM,di Biase Gdoi
10.1093/ije/19.2.303subject
Has Abstractpub_date
1990-06-01 00:00:00pages
303-8issue
2eissn
0300-5771issn
1464-3685journal_volume
19pub_type
杂志文章abstract:BACKGROUND:Several studies have shown that inactivated, whole-cell oral cholera vaccines (OCVs) confer both direct protection on vaccinees and herd protection on populations. Because our earlier cluster-randomized effectiveness trial (CRT) in urban Bangladesh failed to detect OCV herd protection, we reanalysed the tria...
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abstract:Background:In administrative database research, misclassification bias can result from diagnostic codes that imperfectly represent the condition being studied. It is unclear how to correct for this bias. Methods:Severe renal failure and Colles' fracture status were determined in two distinct cohorts using gold standar...
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pub_type: 杂志文章
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更新日期:2005-04-01 00:00:00
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更新日期:2011-04-01 00:00:00
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更新日期:2000-06-01 00:00:00
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