INTRODUCTION AND OBJECTIVE: T-score discordance between hip and spine is a common problem in bone mineral density assessment. A difference ≥ 1 standard deviation (SD) (regardless of diagnostic class) is considered minor, and a difference more than one diagnostic class is considered major discordance. This study aimed to determine the prevalence and factors of hip and spine T-score discordance in a population aged ≥ 40 years in Klang Valley, Malaysia.
SUBJECTS AND METHODS: In this cross-sectional study, subjects answered a demographic questionnaire and underwent body composition and bone health assessment using dual-energy X-ray absorptiometry. Chi-square and binary logistic regression analysis were used to assess the prevalence of T-score discordance among the subjects.
RESULTS: A total of 786 Malaysians (382 men, 404 women) subjects were recruited. The prevalence of minor and major discordance was 30.3% and 2.3%, respectively. Overall, factors related to T-score discordance were advanced age, decreased height, and being physically active. Sub-analysis showed that decreased height and being physically active predicted T-score discordance in men, being menopausal and Indian (vs Chinese) were predictors in women.
CONCLUSIONS: T-score discordance between hip and spine is common among Malaysian middle-aged and elderly population. Diagnosis of osteopenia/osteoporosis should be based on the T-score of more than one skeletal site as per the current recommendations.
AIM: This study aimed to compare the performance of BMI, waist circumference (WC) and waist-to-height ratio (WtHR) in predicting Malaysians with excess body fat defined by dual-energy X-ray absorptiometry (DXA).
SUBJECTS AND METHODS: A total of 399 men and women aged ≥40 years were recruited from Klang Valley, Malaysia. The body composition of the subjects, including body fat percentage, was measured by DXA. The weight, height, WC and WHtR of the subjects were also determined.
RESULTS: BMI [sensitivity = 55.7%, specificity = 86.1%, area under curve (AUC) = 0.709] and WC (sensitivity = 62.7%, specificity = 90.3%, AUC = 0.765) performed moderately in predicting excess adiposity. Their performance and sensitivity improved with lower cut-off values. The performance of WHtR (sensitivity = 96.6%, specificity = 36.1, AUC = 0.664) was optimal at the standard cut-off value and no modification was required.
CONCLUSION: The performance of WC in identifying excess adiposity was greater than BMI and WHtR based on AUC values. Modification of cut-off values for BMI and WC could improve their performance and should be considered by healthcare providers in screening individuals with excess adiposity.