Aljadani Haya M, Patterson Amanda, Sibbritt David, Hutchesson Melinda J, Jensen Megan E, Collins Clare E
Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Newcastle, NSW 2308, Australia.
J Obes. 2013;2013:525161. doi: 10.1155/2013/525161. Epub 2013 Aug 26.
This study investigates the relationship between diet quality and weight gain in young women. Young women (n = 4,287, with 1,356 women identified as plausible subsample aged 27.6 ± 1.5 years at baseline) sampled from the Australian Longitudinal Study on Women's Health study completed food frequency questionnaires in 2003, which were used to evaluate diet quality using three indices: Australian Recommended Food Score (ARFS), Australian Diet Quality Index (Aus-DQI), and Fruit and Vegetable Index (FAVI). Weight was self-reported in 2003 and 2009. Multivariate linear regression was used to examine the association between tertiles of each diet quality index and weight change from 2003 to 2009. The ARFS and FAVI were significant predictors of 6-year weight change in this group of young women, while Aus-DQI did not predict weight change (P > 0.05). In the fully adjusted model, those who were in the top tertile of the ARFS significantly gained lower weight gain compared with the lower tertile for the plausible TEI sub-sample (β = -1.6 kg (95% CI: -2.67 to -0.56), P = 0.003). In the fully adjustment model, young women were classified in the highest FAVI tertile and gained significantly less weight than those in the lowest tertile for the plausible TEI (β = -1.6 kg (95% CI: -2.4 to -0.3) P = 0.01). In conclusion, overall diet quality measured by the ARFS and the frequency and variety of fruit and vegetable consumption may predict long-term weight gain in young women. Therefore, health promotion programs encouraging frequent consumption of a wide variety of fruits and vegetables are warranted.
本研究调查了年轻女性饮食质量与体重增加之间的关系。从澳大利亚女性健康纵向研究中抽取的年轻女性（n = 4287，其中1356名女性被确定为合理子样本，基线年龄为27.6±1.5岁）在2003年完成了食物频率问卷，这些问卷被用于使用三个指标评估饮食质量：澳大利亚推荐食物评分（ARFS）、澳大利亚饮食质量指数（Aus-DQI）和水果与蔬菜指数（FAVI）。体重数据来自2003年和2009年的自我报告。采用多元线性回归分析各饮食质量指数三分位数与2003年至2009年体重变化之间的关联。ARFS和FAVI是该组年轻女性6年体重变化的显著预测因素，而Aus-DQI不能预测体重变化（P>0.05）。在完全调整模型中，对于合理的TEI子样本，ARFS处于最高三分位数的人群与最低三分位数人群相比，体重增加显著更低（β=-1.6 kg（95%CI：-2.67至-0.56），P = 0.003）。在完全调整模型中，年轻女性被归类为FAVI最高三分位数，与合理TEI最低三分位数的女性相比，体重增加显著更少（β=-1.6 kg（95%CI：-2.4至-0.3），P = 0.01）。总之，通过ARFS衡量的总体饮食质量以及水果和蔬菜消费的频率和种类可能预测年轻女性的长期体重增加。因此，有必要开展促进健康的项目，鼓励经常食用各种水果和蔬菜。
