Cobayashi Fernanda, Lopes Luiz A, Taddei José Augusto de A C
Universidade Federal de São Paulo/Escola Paulista de Medicina (UNIFESP/EPM), São Paulo, SP, Brazil.
J Pediatr (Rio J). 2005 Jul-Aug;81(4):337-42.
To study bone density as a concomitant factor for obesity in post-pubertal adolescents, controlling for other variables that may interfere in such a relation.
Study comprising 83 overweight and obese adolescents (BMI > or = P85) and 89 non obese ones (P5 < or = BMI < or = P85). Cases and controls were selected out of 1,420 students (aged 14-19) from a public school in the city of São Paulo. The bone mineral density of the lumbar spine (L2-L4 in g/cm2) was assessed by dual-energy x-ray absorptiometry (LUNARtrade mark DPX-L). The variable bone density was dichotomized using 1.194 g/cm2 as cutoff point. Bivariate analyses were conducted considering the prevalence of overweight and obesity followed by multivariate analysis (logistic regression) according to a hierarchical conceptual model.
The prevalence of bone density above the median was twice more frequent among cases (69.3%) than among controls (32.1%). In the bivariate analysis such prevalence resulted in an odds ratio (OR) of 4.78. The logistic regression model showed that the association between obesity and mineral density is yet more intense with an OR of 6.65 after the control of variables related to sedentary lifestyle and intake of milk and dairy products.
Obese and overweight adolescents in the final stages of sexual maturity presented higher bone mineral density in relation to their normal-weight counterparts; however, cohort studies will be necessary to evaluate the influence of such characteristic on bone resistance in adulthood and, consequently, on the incidence of osteopenia and osteoporosis at older ages.
研究骨密度作为青春期后青少年肥胖的一个伴随因素,同时控制可能干扰这种关系的其他变量。
研究纳入83名超重和肥胖青少年(BMI≥P85)以及89名非肥胖青少年(P5≤BMI≤P85)。病例和对照选自圣保罗市一所公立学校的1420名学生(年龄14 - 19岁)。采用双能X线吸收法(LUNAR商标DPX - L)评估腰椎(L2 - L4,单位:g/cm²)的骨矿物质密度。骨密度变量以1.194 g/cm²为切点进行二分法划分。首先进行双变量分析,考虑超重和肥胖的患病率,然后根据分层概念模型进行多变量分析(逻辑回归)。
骨密度高于中位数的患病率在病例组(69.3%)中是对照组(32.1%)的两倍多。在双变量分析中,这种患病率导致优势比(OR)为4.78。逻辑回归模型显示,在控制了与久坐生活方式以及牛奶和奶制品摄入量相关的变量后,肥胖与矿物质密度之间的关联更强,OR为6.65。
性成熟后期的肥胖和超重青少年相对于体重正常的青少年表现出更高的骨矿物质密度;然而,需要进行队列研究来评估这种特征对成年期骨抗力的影响,进而评估老年期骨质减少和骨质疏松的发生率。