1Key State Laboratory of Molecular Developmental Biology,Institute of Genetics and Developmental Biology,Chinese Academy of Sciences,Beijing 100101,People's Republic of China.
3Non-Communicable Disease Research Unit,South African Medical Research Council and University of Cape Town,Cape Town,South Africa.
Public Health Nutr. 2018 Sep;21(13):2417-2423. doi: 10.1017/S1368980018000939. Epub 2018 May 21.
In a representative sample of US adults, we investigated the associations of nutrient patterns (NP) with bone mineral density (BMD) and fractures.
Cross-sectional.
US community-based National Health and Nutrition Examination Survey (NHANES).
Participants with measured data on dietary intake and BMD from 2005 to 2010 were included. Principal components analysis was used to identify NP. BMD was measured using dual-energy X-ray absorptiometry. ANCOVA, adjusted logistic and linear regression models were employed, accounting for the complex survey design and sample weights.
We included a total of 18 318 participants, with 47·0 % (n 8607) being men. The mean age was 45·8 years with no sex difference. Three NP emerged, explaining 55·9 % of the variance in nutrient consumption. Multivariable-adjusted linear regressions revealed significant inverse associations between the 'high-energy' NP (rich in carbohydrates and sugar, total fat and saturated fat) and total femur, femoral neck, trochanter and intertrochanter BMD (β coefficient: -0·029, -0·025, -0·034 and -0·021, respectively, all P<0·001), while there were significant associations between the 'nutrient-dense' NP (rich in vitamins, minerals and fibre) and 'healthy fat' NP (high dietary PUFA and MUFA) and BMD at total femur, femoral neck, trochanter and intertrochanter (all P<0·001). In adjusted logistic regression models, the odds of hip, wrist or spine fractures did not vary significantly across NP quartiles.
Nutrient-dense and healthy fat NP are associated with higher BMD at various bone sites, while the high-energy NP is inversely associated with BMD measures.
在一项具有代表性的美国成年人样本中,我们研究了营养模式(NP)与骨密度(BMD)和骨折的关系。
横断面研究。
美国社区为基础的国家健康和营养调查(NHANES)。
纳入了 2005 年至 2010 年有膳食摄入和 BMD 测量数据的参与者。采用主成分分析来识别 NP。使用双能 X 线吸收法测量 BMD。采用协方差分析、调整后的逻辑回归和线性回归模型,考虑到复杂的调查设计和样本权重。
我们共纳入了 18318 名参与者,其中 47.0%(n=8607)为男性。平均年龄为 45.8 岁,无性别差异。三种 NP 出现,解释了 55.9%的营养素消耗差异。多变量调整的线性回归显示,“高能量”NP(富含碳水化合物和糖、总脂肪和饱和脂肪)与总股骨、股骨颈、转子和转子间 BMD 呈显著负相关(β系数:-0.029、-0.025、-0.034 和-0.021,均 P<0.001),而“营养密集”NP(富含维生素、矿物质和纤维)和“健康脂肪”NP(高膳食 PUFA 和 MUFA)与总股骨、股骨颈、转子和转子间 BMD 呈显著正相关(均 P<0.001)。在调整后的逻辑回归模型中,髋部、腕部或脊柱骨折的风险在 NP 四分位组之间没有显著差异。
营养密集和健康脂肪 NP 与多个骨部位的较高 BMD 相关,而高能量 NP 与 BMD 呈负相关。