1US Department of Agriculture,Agricultural Research Service,Grand Forks Human Nutrition Research Center,2420 2nd Avenue N.,Grand Forks,ND 58203,USA.
2Tufts University,School of Medicine,Boston,MA,USA.
Public Health Nutr. 2017 Dec;20(17):3045-3050. doi: 10.1017/S1368980017002385. Epub 2017 Sep 20.
To examine the comparability of fruit and vegetable (F&V) intake data in the USA from 2001 to 2014 between data acquired from two national data collection programmes.
Cross-sectional analysis. Linear regression models estimated trends in daily per capita intake of total F&V. Pooled differences in intake of individual F&V (n 109) were examined by processing form (fresh, frozen, canned, dried and juice).
What We Eat in America (WWEIA, 2001-2014) and Loss-Adjusted Food Availability data series (LAFA, 2001-2014).
No temporal trends were observed in daily per capita intake of total F&V from 2001 to 2014 using WWEIA and LAFA. Modest differences between WWEIA and LAFA were observed in mean pooled intake of most individual F&V.
WWEIA and LAFA produced similar estimates of F&V intake. However, WWEIA may be best suited for monitoring intake at the national level because it allows for the identification of individual F&V in foods with multiple ingredients, and it is structured for sub-population analysis and covariate control. LAFA does retain advantages for other research protocols, specifically by providing the only nationally representative estimates of food losses at various points in the food system, which makes it useful for examining the adequacy of the food supply at the agricultural, retail and consumer levels.
检验 2001 至 2014 年间美国水果和蔬菜(F&V)摄入量数据在两个国家数据收集项目间的可比性。
横断面分析。线性回归模型估计了总 F&V 每日人均摄入量的趋势。通过处理形式(新鲜、冷冻、罐装、干燥和汁)来检验个体 F&V 摄入量的综合差异(n=109)。
《我们吃什么:美国人的饮食模式 2001-2014》(WWEIA,2001-2014 年)和损耗调整食品供应数据系列(LAFA,2001-2014 年)。
使用 WWEIA 和 LAFA,2001 至 2014 年间,总 F&V 每日人均摄入量没有观察到时间趋势。WWEIA 和 LAFA 对大多数个体 F&V 的平均综合摄入量有适度差异。
WWEIA 和 LAFA 对 F&V 摄入量的估计结果相似。然而,WWEIA 可能最适合用于国家层面的摄入量监测,因为它允许识别多种成分食品中的个体 F&V,并且它是为子人群分析和协变量控制而构建的。LAFA 在其他研究方案中仍然保留优势,特别是因为它提供了在食品系统各个点的食物损耗的唯一全国代表性估计值,这使其对于检验农业、零售和消费者层面的食物供应充足性非常有用。