Comparison of relationships between four common anthropometric measures and incident diabetes

Crystal Man Ying Lee, Mark Woodward, Nirmala Pandeya, Robert Adams, Elizabeth Barrett-Connor, Edward J. Boyko, Mats Eliasson, Laercio J. Franco, Wilfred Y. Fujimoto, Clicerio Gonzalez, Barbara V. Howard, David R. Jacobs, Sirkka Keinanen-Kiukaanniemi, Dianna Magliano, Pamela Schreiner, Jonathan E. Shaw, June Stevens, Anne Taylor, Jaakko Tuomilehto, Lynne Wagenknecht & 2 others Rachel Huxley, The Obesity, Diabetes and Cardiovascular Disease Collaboration

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)36-44
Number of pages9
JournalDiabetes Research and Clinical Practice
Volume132
DOIs
Publication statusPublished - 1 Oct 2017
Externally publishedYes

Keywords

  • Body mass index
  • Diabetes
  • Waist circumference

Cite this

Lee, C. M. Y., Woodward, M., Pandeya, N., Adams, R., Barrett-Connor, E., Boyko, E. J., ... The Obesity, Diabetes and Cardiovascular Disease Collaboration (2017). Comparison of relationships between four common anthropometric measures and incident diabetes. Diabetes Research and Clinical Practice, 132, 36-44. https://doi.org/10.1016/j.diabres.2017.07.022
Lee, Crystal Man Ying ; Woodward, Mark ; Pandeya, Nirmala ; Adams, Robert ; Barrett-Connor, Elizabeth ; Boyko, Edward J. ; Eliasson, Mats ; Franco, Laercio J. ; Fujimoto, Wilfred Y. ; Gonzalez, Clicerio ; Howard, Barbara V. ; Jacobs, David R. ; Keinanen-Kiukaanniemi, Sirkka ; Magliano, Dianna ; Schreiner, Pamela ; Shaw, Jonathan E. ; Stevens, June ; Taylor, Anne ; Tuomilehto, Jaakko ; Wagenknecht, Lynne ; Huxley, Rachel ; The Obesity, Diabetes and Cardiovascular Disease Collaboration. / Comparison of relationships between four common anthropometric measures and incident diabetes. In: Diabetes Research and Clinical Practice. 2017 ; Vol. 132. pp. 36-44.
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abstract = "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.",
keywords = "Body mass index, Diabetes, Waist circumference",
author = "Lee, {Crystal Man Ying} and Mark Woodward and Nirmala Pandeya and Robert Adams and Elizabeth Barrett-Connor and Boyko, {Edward J.} and Mats Eliasson and Franco, {Laercio J.} and Fujimoto, {Wilfred Y.} and Clicerio Gonzalez and Howard, {Barbara V.} and Jacobs, {David R.} and Sirkka Keinanen-Kiukaanniemi and Dianna Magliano and Pamela Schreiner and Shaw, {Jonathan E.} and June Stevens and Anne Taylor and Jaakko Tuomilehto and Lynne Wagenknecht and Rachel Huxley and {The Obesity, Diabetes and Cardiovascular Disease Collaboration}",
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Lee, CMY, Woodward, M, Pandeya, N, Adams, R, Barrett-Connor, E, Boyko, EJ, Eliasson, M, Franco, LJ, Fujimoto, WY, Gonzalez, C, Howard, BV, Jacobs, DR, Keinanen-Kiukaanniemi, S, Magliano, D, Schreiner, P, Shaw, JE, Stevens, J, Taylor, A, Tuomilehto, J, Wagenknecht, L, Huxley, R & The Obesity, Diabetes and Cardiovascular Disease Collaboration 2017, 'Comparison of relationships between four common anthropometric measures and incident diabetes' Diabetes Research and Clinical Practice, vol. 132, pp. 36-44. https://doi.org/10.1016/j.diabres.2017.07.022

Comparison of relationships between four common anthropometric measures and incident diabetes. / Lee, Crystal Man Ying; Woodward, Mark; Pandeya, Nirmala; Adams, Robert; Barrett-Connor, Elizabeth; Boyko, Edward J.; Eliasson, Mats; Franco, Laercio J.; Fujimoto, Wilfred Y.; Gonzalez, Clicerio; Howard, Barbara V.; Jacobs, David R.; Keinanen-Kiukaanniemi, Sirkka; Magliano, Dianna; Schreiner, Pamela; Shaw, Jonathan E.; Stevens, June; Taylor, Anne; Tuomilehto, Jaakko; Wagenknecht, Lynne; Huxley, Rachel; The Obesity, Diabetes and Cardiovascular Disease Collaboration.

In: Diabetes Research and Clinical Practice, Vol. 132, 01.10.2017, p. 36-44.

Research output: Contribution to journalArticleResearchpeer-review

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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

AU - The Obesity, Diabetes and Cardiovascular Disease Collaboration

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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.

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