Funding agencies: This study was supported by HEALTHY Study Group under NIDDK/NIH grant numbers U01-DK61230, U01-DK61249, U01-DK61231, and U01-DK61223, with additional support from the American Diabetes Association. This report is also research arising from a Career Development Fellowship supported by the UK National Institute for Health Research and a Career Development Award (K07CA131178) supported by the US National Cancer Institute. This work was also supported by federal funds from the U.S. Department of Agriculture/Agricultural Research Service under Cooperative Agreement No. 58-6250-6001. Disclosure: The authors declare no conflict of interest.
Longitudinal associations between BMI, waist circumference, and cardiometabolic risk in US youth: Monitoring implications†
Version of Record online: 16 APR 2013
Copyright © 2013 The Obesity Society
Volume 21, Issue 3, pages E271–E279, March 2013
How to Cite
Jago, R., Mendoza, J. A., Chen, T. and Baranowski, T. (2013), Longitudinal associations between BMI, waist circumference, and cardiometabolic risk in US youth: Monitoring implications. Obesity, 21: E271–E279. doi: 10.1002/oby.20080
- Issue online: 16 APR 2013
- Version of Record online: 16 APR 2013
- Accepted manuscript online: 18 OCT 2012 12:57PM EST
- Manuscript Accepted: 16 AUG 2012
- Manuscript Revised: 7 JUL 2012
- Manuscript Received: 16 MAR 2012
- HEALTHY Study Group under NIDDK/NIH. Grant Numbers: U01-DK61230, U01-DK61249, U01-DK61231, U01-DK61223
- The American Diabetes Association
- This report is also research arising from a Career Development Fellowship supported by the UK National Institute for Health Research and a Career Development Award (K07CA131178) supported by the US National Cancer Institute
- Federal funds from the U.S. Department of Agriculture/Agricultural Research Service under Cooperative Agreement No. 58-6250-6001
This study examined whether change in body mass index (BMI) or waist circumference (WC) is associated with change in cardiometabolic risk factors and differences between cardiovascular disease specific and diabetes specific risk factors among adolescents. We also sought to examine any differences by gender or baseline body mass status.
The article is a longitudinal analysis of pre- and post-data collected in the HEALTHY trial. Participants were 4,603 ethnically diverse adolescents who provided complete data at 6th and 8th grade assessments.
The main outcome measures were percent change in the following cardiometabolic risk factors: fasting triglycerides, systolic and diastolic blood pressure, high density lipoprotein cholesterol, and glucose as well as a clustered metabolic risk score. Main exposures were change in BMI or WC z-score. Models were run stratified by gender; secondary models were additionally stratified by baseline BMI group (normal, overweight, or obese).
Analysis showed that when cardiometabolic risk factors were treated as continuous variables, there was strong evidence (P < 0.001) that change in BMI z-score was associated with change in the majority of the cardiovascular risk factors, except fasting glucose and the combined risk factor score for both boys and girls. There was some evidence that change in WC z-score was associated with some cardiovascular risk factors, but change in WC z-score was consistently associated with changes in fasting glucose.
In conclusion, routine monitoring of BMI should be continued by health professionals, but additional information on disease risk may be provided by assessing WC.