Ross Grant, The University of Sydney Adventist Hospital Clinical School, 185 Fox Valley Rd, Wahroonga, NSW Australia, Phone: +61 2 9487 9602,
J Nutr Health Aging. 2020;24(4):388-397. doi: 10.1007/s12603-020-1339-y.
To determine the relationship between plant food consumption and bone mineral density (BMD) in a healthy population when age, gender, BMI and physical activity are accounted for.
Cross-sectional study.
Participants were recruited from the Sydney Adventist hospital and the University of New South Wales, Sydney, Australia.
33 males and 40 females (total n=73) participated in this study. The mean age was 56.1 ± 8.5 years. All participants were non-diabetic and in general good health.
A principle component analysis (PCA) was performed on 12 month self-report food intake data, gathered using the Cancer Council Victoria Dietary Questionnaire for Epidemiological Studies Version 2. Dual-energy X-ray absorptiometry was used to measure total BMD. Fasting plasma total protein, calcium and 25-Hydroxy Vitamin D levels were analysed by the Sydney Adventist Hospital pathology laboratory. Anthropometric measures were obtained using a standardized protocol. Self-reported physical activity levels were assessed using the International Physical Activity Questionnaire.
The PCA revealed three principle components. These were termed 'Meat Based', 'Junk Food' and 'Plant Based.' After controlling for age, gender, physical activity and BMI, the Plant Based component correlated positively with BMD (p=0.054, R2=0.439) and T-score (p=0.053, R2=0.221). Using a similar model no association between the Meat Based component and BMD or T-score was found. However, when the Plant Based component was included the Meat Based component correlated positively with BMD (p=0.046, R2=0.474) and T-score (p=0.046, R2=0.279). There was no significant association between the Junk Food component and BMD or T-score. People in the third Plant (927 ± 339 vs 751 ± 255 g/day, p=0.025) and Meat Based (921 ± 270 vs 676 ± 241 g/day, p=0.002) tertile had higher calcium intakes than those in the first. People in the second Plant Based tertile had higher plasma Vitamin D levels than those in the first (63.5 ± 16.8 vs. 52.3 ± 22.1 nmol/L, p=0.053) while those in the third Junk Food tertile had lower levels than those in the first (52.4 ± 18.5 vs. 65.4 ± 19.8 nmol/L, p=0.027). No association between Plant Based tertiles and protein intake was observed, however those in the third Meat Based (99.7 ± 25.1 vs. 50.9 ± 13.8 g/day, p=0.000) and Junk Food (87.4 ± 30.7 vs. 56.6 ± 22.2 g/day, p=0.000) tertile had higher protein intake compared to those in the first tertile.
In a healthy middle aged population with normal BMD, an increase in plant food consumption, either alone or in combination with a diet containing meat, is associated with improved bone mineralisation markers. This positive relationship is most likely due to the extensive range of micronutrients and phytochemicals packaged within plants.
当考虑年龄、性别、BMI 和身体活动时,确定健康人群中植物性食物消费与骨矿物质密度(BMD)之间的关系。
横断面研究。
参与者从澳大利亚悉尼 Adventist 医院和新南威尔士大学招募。
33 名男性和 40 名女性(共 73 名)参加了这项研究。平均年龄为 56.1 ± 8.5 岁。所有参与者均无糖尿病,总体健康状况良好。
使用癌症委员会维多利亚州饮食问卷 2 版(Cancer Council Victoria Dietary Questionnaire for Epidemiological Studies Version 2)对 12 个月的自我报告食物摄入量数据进行主成分分析(PCA)。使用双能 X 射线吸收法测量总 BMD。悉尼 Adventist 医院病理实验室分析空腹总蛋白、钙和 25-羟维生素 D 水平。使用标准化协议获得人体测量学测量值。使用国际体力活动问卷评估自我报告的体力活动水平。
PCA 揭示了三个主要成分。这些被称为“基于肉类”、“垃圾食品”和“基于植物”。在控制年龄、性别、身体活动和 BMI 后,基于植物的成分与 BMD(p=0.054,R2=0.439)和 T 评分(p=0.053,R2=0.221)呈正相关。使用类似的模型,发现肉类成分与 BMD 或 T 评分之间没有关联。然而,当包含基于植物的成分时,肉类成分与 BMD(p=0.046,R2=0.474)和 T 评分(p=0.046,R2=0.279)呈正相关。垃圾食品成分与 BMD 或 T 评分之间没有显著关联。第三组植物(927 ± 339 与 751 ± 255 g/天,p=0.025)和肉类(921 ± 270 与 676 ± 241 g/天,p=0.002)基的人钙摄入量高于第一组。第二组基于植物的人血浆维生素 D 水平高于第一组(63.5 ± 16.8 与 52.3 ± 22.1 nmol/L,p=0.053),而第三组垃圾食品组的水平低于第一组(52.4 ± 18.5 与 65.4 ± 19.8 nmol/L,p=0.027)。未观察到基于植物的 tertiles 与蛋白质摄入量之间存在关联,然而,第三组肉类(99.7 ± 25.1 与 50.9 ± 13.8 g/天,p=0.000)和垃圾食品(87.4 ± 30.7 与 56.6 ± 22.2 g/天,p=0.000) tertiles 的蛋白质摄入量高于第一 tertiles。
在具有正常 BMD 的健康中年人群中,增加植物性食物的摄入,无论是单独摄入还是与含有肉类的饮食一起摄入,都与改善骨矿物质化标志物有关。这种积极的关系很可能是由于植物中包含的广泛范围的微量营养素和植物化学物质。