TY - JOUR
T1 - Comparison of relationships between four common anthropometric measures and incident diabetes
AU - The Obesity, Diabetes and Cardiovascular Disease Collaboration
AU - Lee, Crystal Man Ying
AU - Woodward, Mark
AU - Pandeya, Nirmala
AU - Adams, Robert
AU - Barrett-Connor, Elizabeth
AU - Boyko, Edward J.
AU - Eliasson, Mats
AU - Franco, Laercio J.
AU - Fujimoto, Wilfred Y.
AU - Gonzalez, Clicerio
AU - Howard, Barbara V.
AU - Jacobs, David R.
AU - Keinanen-Kiukaanniemi, Sirkka
AU - Magliano, Dianna
AU - Schreiner, Pamela
AU - Shaw, Jonathan E.
AU - Stevens, June
AU - Taylor, Anne
AU - Tuomilehto, Jaakko
AU - Wagenknecht, Lynne
AU - Huxley, Rachel R.
N1 - Funding Information:
This work was supported by the National Health and Medical Research Council of Australia [grant number 1103242].
PY - 2017/10
Y1 - 2017/10
N2 - Aims First, to conduct a detailed exploration of the prospective relations between four commonly used anthropometric measures with incident diabetes and to examine their consistency across different population subgroups. Second, to compare the ability of each of the measures to predict five-year risk of diabetes. Methods We conducted a meta-analysis of individual participant data on body mass index (BMI), waist circumference (WC), waist-hip and waist-height ratio (WHtR) from the Obesity, Diabetes and Cardiovascular Disease Collaboration. Cox proportional hazard models were used to estimate the association between a one standard deviation increment in each anthropometric measure and incident diabetes. Harrell's concordance statistic was used to test the predictive accuracy of each measure for diabetes risk at five years. Results Twenty-one studies with 154,998 participants and 9342 cases of incident diabetes were available. Each of the measures had a positive association with incident diabetes. A one standard deviation increment in each of the measures was associated with 64–80% higher diabetes risk. WC and WHtR more strongly associated with risk than BMI (ratio of hazard ratios: 0.95 [0.92,0.99] – 0.97 [0.95,0.98]) but there was no appreciable difference between the four measures in the predictive accuracy for diabetes at five years. Conclusions Despite suggestions that abdominal measures of obesity have stronger associations with incident diabetes and better predictive accuracy than BMI, we found no overall advantage in any one measure at discriminating the risk of developing diabetes. Any of these measures would suffice to assist in primary diabetes prevention efforts.
AB - Aims First, to conduct a detailed exploration of the prospective relations between four commonly used anthropometric measures with incident diabetes and to examine their consistency across different population subgroups. Second, to compare the ability of each of the measures to predict five-year risk of diabetes. Methods We conducted a meta-analysis of individual participant data on body mass index (BMI), waist circumference (WC), waist-hip and waist-height ratio (WHtR) from the Obesity, Diabetes and Cardiovascular Disease Collaboration. Cox proportional hazard models were used to estimate the association between a one standard deviation increment in each anthropometric measure and incident diabetes. Harrell's concordance statistic was used to test the predictive accuracy of each measure for diabetes risk at five years. Results Twenty-one studies with 154,998 participants and 9342 cases of incident diabetes were available. Each of the measures had a positive association with incident diabetes. A one standard deviation increment in each of the measures was associated with 64–80% higher diabetes risk. WC and WHtR more strongly associated with risk than BMI (ratio of hazard ratios: 0.95 [0.92,0.99] – 0.97 [0.95,0.98]) but there was no appreciable difference between the four measures in the predictive accuracy for diabetes at five years. Conclusions Despite suggestions that abdominal measures of obesity have stronger associations with incident diabetes and better predictive accuracy than BMI, we found no overall advantage in any one measure at discriminating the risk of developing diabetes. Any of these measures would suffice to assist in primary diabetes prevention efforts.
KW - Body mass index
KW - Diabetes
KW - Waist circumference
UR - http://www.scopus.com/inward/record.url?scp=85026788981&partnerID=8YFLogxK
U2 - 10.1016/j.diabres.2017.07.022
DO - 10.1016/j.diabres.2017.07.022
M3 - Article
C2 - 28783531
AN - SCOPUS:85026788981
VL - 132
SP - 36
EP - 44
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
SN - 0168-8227
ER -