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Could statistical adjustments for age mask the insulin–blood pressure relationship?

O'Dea, K (2006). Could statistical adjustments for age mask the insulin–blood pressure relationship?. Diabetes Research and Clinical Practice,72(1):104-107.

Document type: Journal Article
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Title Could statistical adjustments for age mask the insulin–blood pressure relationship?
Author O'Dea, K
Journal Name Diabetes Research and Clinical Practice
Publication Date 2006
Volume Number 72
Issue Number 1
ISSN 0168-8227   (check CDU catalogue open catalogue search in new window)
Start Page 104
End Page 107
Place of Publication Ireland
Publisher Elsevier Science
HERDC Category C1 - Journal Article (DEST)
Abstract Even though conclusive findings regarding the relationship between insulin and blood pressure (BP) have been made, several papers still report on finding weak or non-existing relationships in various population groups. These relationships are often weak, depend on the characteristics of the study population and are usually strongly confounded by obesity and age. Subsequently many investigators adjust via statistical methods for age and measures of obesity (such as body mass index). In the present study four different datasets were used (Australian Aboriginal people (N = 675), Torres Strait Islanders (N = 369), African women (N = 94) and Caucasian women (N = 112)) and showed very weak correlations in all groups after statistical adjustments for age and obesity (ranging from r = −0.04 to 0.13). All subjects were then divided into different age groups (15–29 years; 30–40 years; >40 years) and partial correlations were performed within each age group whilst adjusting only for obesity. Results still showed correlations (ranging from r = −0.29 to 0.27) with a similar trend with increasing age. More positive correlations were shown for the youngest groups, and more negative correlations for the oldest groups, with the middle-group (30–40 years) showing the weakest correlations—seeming to be in a transitional phase from a positive to negative correlation. It is therefore suggested that when the relationship between fasting insulin and BP is assessed, age stratification be used and not statistical adjustments.
DOI http://dx.doi.org/10.1016/j.diabres.2005.09.008   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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