1967
DOI: 10.1016/0021-9681(67)90084-7
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The prevalence of diabetes mellitus and related variables—A population study in Sudbury, Massachusetts

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Cited by 28 publications
(9 citation statements)
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“…Adjustment for age or obesity was considered adequate when direct standardization, regression analysis, or an equivalent method was used to calculate an effect measure adjusted for the potential confounding factor. Twelve studies found no association between childbearing experience and prevalence of diabetes mellitus or glucose intolerance but had not been adequately adjusted for age or obesity (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15). When adequate adjustment was made for age and obesity together or age or obesity alone, no study found no association.…”
mentioning
confidence: 99%
“…Adjustment for age or obesity was considered adequate when direct standardization, regression analysis, or an equivalent method was used to calculate an effect measure adjusted for the potential confounding factor. Twelve studies found no association between childbearing experience and prevalence of diabetes mellitus or glucose intolerance but had not been adequately adjusted for age or obesity (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15). When adequate adjustment was made for age and obesity together or age or obesity alone, no study found no association.…”
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confidence: 99%
“…Prevalence figures for other diseases were used to derive samples of adults with and without prior cerebral infarction, 13 samples with and without diabetes, 14 and samples with and without coronary artery disease. 13 Analysis The samples obtained were used for calculation of relative risk point estimates and the associated 95 per cent logit confidence intervals.…”
Section: Controlsmentioning
confidence: 99%
“…8 A review of the highlights of that study will provide information that bears on the quality of the contrasting prevalence rates that follow. These rates are, of course, derived from both a numerator (the diabetic subjects) and a denominator (the population).…”
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confidence: 99%
“…Confirmation resulted in several categories of certainty, as published, and 11 of the 64 subjects with stated diabetes (17.2%) were excluded from the final prevalence figure on the basis that their original diagnosis did not meet our criteria and their study data were completely normal. 8 Methods employed to assess potential bias in the results are outlined in Table 3. First, the OGTT was offered to a 5% random sample of the population to monitor the screening effect of the adopted diagnostic routine.…”
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confidence: 99%
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