OBJECTIVE: To investigate the in¯uence of height on the relationships between the intra-abdominal fat and anthropometric measures. SUBJECTS: Twenty healthy female volunteers aged 20±51 y from Aberdeen, and 71 men and 34 women aged 19±85 y from Nijmegen, The Netherlands. OUTCOME MEASURES: Intra-abdominal fat volumes by magnetic resonance imaging (MRI) in Aberdeen and crosssectional areas at L4-L5 level by computerised tomography (CT) in Nijmegen, height, body mass index (BMI), waist circumference, waist sagittal and transverse diameters, waist to hip ratio, and skinfolds. RESULTS: In the MRI study the women with BMI 20±33 kg/m 2 , waist circumference 62±97 cm, height 148±172 cm, and intra-abdominal fat volume 0.07±2.66 kg, waist circumference gave the highest correlation of simple indices with intraabdominal fat volume, explaining 77.8% of variance. Single cross-sectional MRI cuts predicted volume with r 0.94± 0.99. Height in various levels of index power was not related to waist circumference, waist diameters, BMI, or skinfolds and did not improve prediction of intra-abdominal fat volume or of cross-sectional intra-abdominal fat area at any level. The CT study of men and women with BMI 18±32 kg/m 2 and 19±38 kg/m 2 , waist circumference 71±112 cm and 74±125 cm, height 158±197 cm and 151±182 cm, and intra-abdominal fat area 13±274 cm 2 and 19±221 cm 2 respectively, height also had little in¯uence on the relationships of intra-abdominal fat area with waist circumference or with any other indices of adiposity in linear or quadratic models. Compared to younger subjects, intra-abdominal fat area was higher in older subjects for a given waist circumference. CONCLUSIONS: Height does not importantly in¯uence the differences in measures of adiposity or intra-abdominal fat volume in women, or intra-abdominal fat area in both sexes. Age does in¯uence the prediction of intra-abdominal fat from waist circumference, but waist circumference alone has a predictable simple relationship with intra-abdominal fat volume or area, which is likely to relate to the prediction of health risk for health promotion.