School of Health Sciences, Faculty of Health, Priority Research Centre in Physical Activity and Nutrition, The University of Newcastle, New South Wales, Australia.
Aust N Z J Public Health. 2013 Aug;37(4):322-8. doi: 10.1111/1753-6405.12079.
To evaluate the relationship between diet quality score, as measured by the Australian Recommended Food Score (ARFS) and six-year weight gain in middle-aged Australian women.
Participants were a sub-sample of women from the Australian Longitudinal Study on Women's Health (ALSWH) who were followed up from 2001 to 2007 (n= 7,155, aged 48 to 56 years). The ARFS was derived from responses to a sub-set of questions from a food frequency questionnaire, with possible scores ranging from 0 to 74 (maximum). Absolute weight gain was calculated from the difference in self-reported weight between 2001 and 2007. Linear regression was used to test the relationship between diet score and weight change.
On average, women gained weight during follow-up (1.6 ± 6.2 kg) and had a mean baseline ARFS of 32.6 (SD 8.7) which was not optimal. There was no association between ARFS and weight change during follow-up (β= 0.016; p=0.08) in the fully adjusted model that included total energy intake, education, area of residence, baseline weight, physical activity, smoking and menopause status.
Weight gain and low ARFS were common. However, diet quality as measured by the ARFS did not predict six-year weight gain.
This lack of association may be due to limitations related to AFRS, or may be a false negative finding. Further research is warranted to evaluate the impact of promoting optimal diet quality on weight gain prospectively.
评估澳大利亚推荐食物评分(ARFS)的饮食质量评分与中年澳大利亚女性六年体重增加之间的关系。
参与者是澳大利亚女性健康纵向研究(ALSWH)的一个子样本,从 2001 年到 2007 年进行随访(n=7155,年龄 48 至 56 岁)。ARFS 是从食物频率问卷中回答的一组问题得出的,得分范围从 0 到 74(最高)。绝对体重增加是根据 2001 年至 2007 年自我报告体重之间的差异计算得出的。线性回归用于测试饮食评分与体重变化之间的关系。
平均而言,女性在随访期间体重增加(1.6±6.2kg),基线 ARFS 平均值为 32.6(SD8.7),并不理想。在完全调整的模型中,包括总能量摄入、教育程度、居住区域、基线体重、身体活动、吸烟和绝经状态,ARFS 与随访期间的体重变化之间没有关联(β=0.016;p=0.08)。
体重增加和低 ARFS 很常见。然而,ARFS 测量的饮食质量并不能预测六年体重增加。
这种关联的缺乏可能是由于 ARFS 的局限性,也可能是假阴性的结果。需要进一步研究来评估前瞻性促进最佳饮食质量对体重增加的影响。