TY - JOUR
T1 - LMS Tables For Waist Circumference And Waist-height Ratio In Colombian Adults: Analysis Of Nationwide Data 2010
AU - RamÃrez-Vélez, R.
AU - Correa-Bautista, J. E.
AU - MartÃnez-Torres, J.
AU - Méneses-Echavez, J. F.
AU - González-Ruiz, K.
AU - González-Jiménez, E.
AU - Schmidt-Riovalle, J.
PY - 2016/10/1
Y1 - 2016/10/1
N2 - Background/Objectives:Indices predictive of central obesity include waist circumference (WC) and waist-to-height ratio (WHtR). These data are lacking for Colombian adults. This study aims at establishing smoothed centile charts and LMS tables for WC and WHtR; appropriate cutoffs were selected using receiver-operating characteristic analysis based on data from the representative sample.Subjects/Methods:We used data from the cross-sectional, national representative nutrition survey (ENSIN, 2010). A total of 83 220 participants (aged 20-64) were enroled. Weight, height, body mass index (BMI), WC and WHtR were measured and percentiles calculated using the LMS method (L (curve Box-Cox), M (curve median), and S (curve coefficient of variation)). Receiver operating characteristics curve analyses were used to evaluate the optimal cutoff point of WC and WHtR for overweight and obesity based on WHO definitions.Results:Reference values for WC and WHtR are presented. Mean WC and WHtR increased with age for both genders. We found a strong positive correlation between WC and BMI (r=0.847, P<0.01) and WHtR and BMI (r=0.878, P
AB - Background/Objectives:Indices predictive of central obesity include waist circumference (WC) and waist-to-height ratio (WHtR). These data are lacking for Colombian adults. This study aims at establishing smoothed centile charts and LMS tables for WC and WHtR; appropriate cutoffs were selected using receiver-operating characteristic analysis based on data from the representative sample.Subjects/Methods:We used data from the cross-sectional, national representative nutrition survey (ENSIN, 2010). A total of 83 220 participants (aged 20-64) were enroled. Weight, height, body mass index (BMI), WC and WHtR were measured and percentiles calculated using the LMS method (L (curve Box-Cox), M (curve median), and S (curve coefficient of variation)). Receiver operating characteristics curve analyses were used to evaluate the optimal cutoff point of WC and WHtR for overweight and obesity based on WHO definitions.Results:Reference values for WC and WHtR are presented. Mean WC and WHtR increased with age for both genders. We found a strong positive correlation between WC and BMI (r=0.847, P<0.01) and WHtR and BMI (r=0.878, P
U2 - 10.1038/ejcn.2016.46
DO - 10.1038/ejcn.2016.46
M3 - Research Article
C2 - 27026425
SN - 0954-3007
VL - 48
SP - 1189
EP - 1196
JO - European Journal of Clinical Nutrition
JF - European Journal of Clinical Nutrition
IS - 2016
ER -
