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National dietary survey in 2012‐2016 on the general population aged 1‐79 years in the Netherlands

机译:2012-2016年全国饮食调查,针对荷兰1-79岁的总人口

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During the years 2012‐2016, the Dutch National Food Consumption survey was conducted in the Netherlands. For the survey, a random sample was drawn from consumer panels stratified by age and gender and maintained representative to the population with regard to region, address density and educational level. Complete results were obtained for 4,313 persons (response rate 65%); including toddlers, children, adolescents, adults and elderly. Pregnant or lactating women were excluded, as well as institutionalised persons. Two non‐consecutive GloboDiet 24‐hour dietary recalls were conducted by trained dieticians; for participants aged 1‐8 and 71‐79 years in combination with a food diary. Persons aged 16‐70 years were interviewed by telephone. Other participants were interviewed at least once at home; children until age of 16 years and their caretakers were interviewed together. A questionnaire including physical activity and food frequency questions was also administered. Height and weight were measured for the participants that were interviewed at home and self‐reported for those interviewed by telephone. The food consumption data were coded into the FoodEx2 nomenclature. Largely, the methodology followed the 2009 “Guidance of EFSA on General principles for the collection of national food consumption data in the view of a pan‐European dietary survey”. The main deviations concerned the exclusion of infants, not measuring height and weight in all age groups but having it self‐reported, performing the interviews by telephone in most age groups, and performing a different dietary assessment method among children younger than 10 years and those above 70 years. The main challenge faced during the fieldwork was the response rate, and during data handling the laborious work necessary to match the >40,000 different reported foods to the national food composition database and the FoodEx2 classification and description system. Given the availability of new technologies, like apps and barcode scanners to identify foods with barcodes it is worthwhile to do research on less labour intensive alternatives for collecting food consumption data, while maintaining the level of detail and harmonisation across Europe.
机译:在2012-2016年期间,在荷兰进行了荷兰国家食品消费量调查。在调查中,从按年龄和性别分层的消费者面板中抽取了一个随机样本,并在区域,地址密度和教育水平方面保持了对人口的代表性。获得了4,313人的完整结果(答复率为65%);包括幼儿,儿童,青少年,成人和老人。孕妇或哺乳期妇女以及机构化人员均被排除在外。由训练有素的营养师进行了两次非连续的GloboDiet 24小时饮食召回;适用于1至8岁和71至79岁的参与者以及食品日记。通过电话采访了16-70岁的人。其他参与者在家中至少接受了一次采访。直到16岁为止的儿童和他们的看护人一起接受了采访。还进行了包括身体活动和食物频率问题的问卷调查。测量在家中被访者的身高和体重,并通过电话对他们进行自我报告。食品消费数据已编码到FoodEx2术语中。在很大程度上,该方法遵循了2009年“欧洲食品安全局(EFSA)关于泛欧饮食调查中收集国家食品消费数据的一般原则的指导”。主要偏差涉及排除婴儿,不是在所有年龄组中测量身高和体重,而是自我报告,在大多数年龄组中通过电话进行访谈,以及对10岁以下儿童和那些年龄不同的儿童进行不同的饮食评估方法70岁以上实地调查过程中面临的主要挑战是响应率,在数据处理过程中,要使超过40,000种不同的报告食品与国家食品成分数据库以及FoodEx2分类和描述系统进行匹配所必需的艰巨工作。鉴于应用和条形码扫描仪等新技术可以识别带有条形码的食物,因此有必要研究劳动强度较低的替代方法来收集食物消费数据,同时保持整个欧洲的详细程度和统一性。

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