Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.
Department of Nuclear Medicine and Molecular Imaging, Singapore General Hospital, Singapore, Singapore.
PLoS One. 2022 Oct 21;17(10):e0276434. doi: 10.1371/journal.pone.0276434. eCollection 2022.
This study establishes age- and sex-specific reference values for fat mass index (FMI), lean mass index (LMI), appendicular LMI (aLMI), and body fat distribution indices including Android/Gynoid % fat ratio and Trunk/Limb % fat ratio in multi-ethnic Singaporean adults.
A population-based cross-sectional study using dual-energy X-ray absorptiometry (Hologic Discovery Wi) was carried out to measure whole body and regional fat and lean mass in community-dwelling adults. A total of 537 adults (57.5% women), aged from 21 to 90 years, were recruited from the large north-eastern residential town of Yishun. Age- and sex-specific percentile reference values were generated for FMI, LMI, aLMI, Android/Gynoid % fat ratio and Trunk/Limb % fat ratio using the Lambda-Mu-Sigma method. The relationship between the parameters and age were assessed through the Pearson's correlation coefficient.
All parameters demonstrated significant correlation with age (p < 0.05) for both men and women, except for LMI in women, with the strength of r ranging from 0.12 (weak correlation) to 0.54 (strong correlation). LMI (r = -0.45) and appendicular LMI (r = -0.54) were negatively associated with age in men while none (r = -0.06) to weak correlation (r = -0.14) were shown in women for the same parameters respectively. The Android/Gynoid % fat ratio and Trunk/Limb % fat ratio were positively related to age for both men (r = 0.37 & 0.43, p < 0.001) and women (r = 0.52 & 0.48, p < 0.001).
We have established DXA-based body composition reference data for the Singapore adult population. These reference data will be particularly useful in geriatric, obesity and oncology clinics, enabling the prescription of appropriate therapy to individuals at risk of morbidity from unfavorable body composition phenotypes. It also adds on to the limited reference database on Southeast Asian body composition.
本研究旨在为新加坡多民族成年人建立脂肪质量指数(FMI)、瘦体质指数(LMI)、四肢瘦体质指数(aLMI)以及身体脂肪分布指数(包括安卓/女性脂肪比例和躯干/肢体脂肪比例)的年龄和性别特异性参考值。
本研究采用基于双能 X 射线吸收法(Hologic Discovery Wi)的人群横断面研究,对社区居住的成年人进行全身和局部脂肪和瘦体质的测量。共招募了 537 名年龄在 21 至 90 岁之间的成年人(57.5%为女性),他们来自东北部的义顺大型住宅区。采用 Lambda-Mu-Sigma 法生成 FMI、LMI、aLMI、安卓/女性脂肪比例和躯干/肢体脂肪比例的年龄和性别特异性百分位参考值。使用 Pearson 相关系数评估参数与年龄之间的关系。
所有参数在男性和女性中均与年龄呈显著相关(p<0.05),除女性的 LMI 外,r 值范围从 0.12(弱相关)到 0.54(强相关)。男性的 LMI(r=-0.45)和四肢 LMI(r=-0.54)与年龄呈负相关,而女性的相同参数分别呈无相关性(r=-0.06)至弱相关性(r=-0.14)。男性和女性的安卓/女性脂肪比例和躯干/肢体脂肪比例均与年龄呈正相关(r=0.37 和 0.43,p<0.001;r=0.52 和 0.48,p<0.001)。
我们建立了基于 DXA 的新加坡成年人身体成分参考数据。这些参考数据将特别有助于老年医学、肥胖症和肿瘤学诊所,能够为患有不利身体成分表型的患者制定适当的治疗方案。这也增加了东南亚身体成分参考数据库的有限性。