Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.
Obesity (Silver Spring). 2019 Sep;27(9):1513-1519. doi: 10.1002/oby.22555. Epub 2019 Jul 18.
The study aimed to investigate the association between BMI, waist circumference, and vertebral fracture (VF) risk in women.
This prospective study was conducted in 54,934 Nurses' Health Study participants. BMI was assessed biennially, and waist circumference was assessed in the year 2000. Self-reports of VF were confirmed by record review. BMI reflects lean body mass, and waist circumference reflects abdominal adiposity when included in the same regression model.
This study included 536 VF cases (2002 to 2014). Compared with women with BMI of 21.0 to 24.9 kg/m , the multivariable-adjusted relative risk (RR) of VF for women with BMI ≥ 32.0 was 0.84 (95% CI: 0.61-1.14; P = 0.08). After further adjustment for waist circumference, the multivariable-adjusted RR of VF for women with BMI ≥ 32.0 was 0.70 (95% CI: 0.49-0.98; P = 0.003). Compared with women with waist circumference < 71.0 cm, the multivariable-adjusted RR of VF for women with waist circumference ≥ 108.0 cm was 1.76 (95% CI: 1.06-2.92; P = 0.01), and after further adjustment for BMI, the multivariable-adjusted RR of VF was 2.49 (95% CI: 1.44-4.33; P < 0.001).
Greater lean body mass was independently associated with lower VF risk. Larger waist circumference was independently associated with higher VF risk. These findings suggest that fat distribution is an important predictor of VF and that avoiding central adiposity, as well as maintaining muscle mass, may potentially confer reduced risk of VF in older women.
本研究旨在探讨女性体重指数(BMI)、腰围与椎体骨折(VF)风险之间的关联。
这是一项在 54934 名护士健康研究参与者中进行的前瞻性研究。BMI 每两年评估一次,腰围在 2000 年评估。VF 通过记录审查进行自我报告。当 BMI 和腰围包含在同一个回归模型中时,BMI 反映瘦体重,腰围反映腹部肥胖。
这项研究共纳入 536 例 VF 病例(2002 年至 2014 年)。与 BMI 为 21.0 至 24.9kg/m2的女性相比,BMI≥32.0kg/m2的女性 VF 的多变量校正相对风险(RR)为 0.84(95%CI:0.61-1.14;P=0.08)。进一步调整腰围后,BMI≥32.0kg/m2的女性 VF 的多变量校正 RR 为 0.70(95%CI:0.49-0.98;P=0.003)。与腰围<71.0cm 的女性相比,腰围≥108.0cm 的女性 VF 的多变量校正 RR 为 1.76(95%CI:1.06-2.92;P=0.01),进一步调整 BMI 后,VF 的多变量校正 RR 为 2.49(95%CI:1.44-4.33;P<0.001)。
更大的瘦体重与较低的 VF 风险独立相关。更大的腰围与更高的 VF 风险独立相关。这些发现表明脂肪分布是 VF 的一个重要预测因子,避免中心性肥胖和保持肌肉质量可能会降低老年女性 VF 的风险。