Dietary assessment training: The Italian IV SCAI study on 10-74 year-old individuals' food consumption.
dietary assessment method
e-learning
hybrid learning methods
innovative process
professional community
training methods
Journal
Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264
Informations de publication
Date de publication:
2022
2022
Historique:
received:
27
05
2022
accepted:
15
07
2022
entrez:
5
9
2022
pubmed:
6
9
2022
medline:
6
9
2022
Statut:
epublish
Résumé
Dietary surveys are conducted to examine the population's dietary patterns that require a complex system of databases, and rules for constructing the data matrix (precision, coding, deriving new variables, e.g., body mass index from individual's height and weight, classes, e.g., age-class, socio-economic status, physical activity, etc.). Management of the data collection requires specialized fieldworkers to allow for the collection of harmonized and standardized data. In this way, only statistical variability is envisaged and any eventual biases are due to probabilistic distribution but data are not affected by inaccuracy. Training the fieldworkers is a crucial part of each dietary survey. The idea to provide constant training throughout the whole survey period, from the preparatory phase to the data collection phase, relies on the necessity to train fieldworkers and monitor the skills acquired during the study, in addition to helping fieldworkers to gain the necessary experience. This study aims to relate the experience in conducting the course path to high specialized interviewers who carried out the cycle devoted to the 10-74 age class of the fourth nationwide food consumption study in Italy (IV SCAI ADULT) according to the European Food Safety Authority (EFSA) guide. A course path was structured in three steps corresponding to the preparation, pilot, and collection phases. The whole path achieved the goal of collecting data related to 12 individuals by each participant, with an overall success rate (successful trainees/total participants) of 16.8% (84 out of an initial 500). The study aimed to provide good quality data in the short term and a highly specialized community in the long term. Surveillance nutritional systems can count on a highly skilled community, so decision-making in public health nutrition and a sustainable and healthy food system can rely on this infrastructure.
Identifiants
pubmed: 36061894
doi: 10.3389/fnut.2022.954939
pmc: PMC9431366
doi:
Types de publication
Journal Article
Langues
eng
Pagination
954939Informations de copyright
Copyright © 2022 Le Donne, Piccinelli, Sette, Martone, Catasta, Censi, Comendador Azcarraga, D’Addezio, Ferrari, Mistura, Pettinelli, Saba, Barbina, Guerrera, Carbone, Mazzaccara and Turrini.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Front Public Health. 2021 Jun 09;9:708291
pubmed: 34178936
World Health Organ Tech Rep Ser. 1995;854:1-452
pubmed: 8594834
BMJ. 2003 Feb 8;326(7384):328-30
pubmed: 12574050
Int J Epidemiol. 1987 Jun;16(2):312-7
pubmed: 3610460
Nutrients. 2022 Feb 16;14(4):
pubmed: 35215478
BMC Med. 2017 Nov 15;15(1):202
pubmed: 29137630
Lancet. 2019 Feb 2;393(10170):447-492
pubmed: 30660336
BMC Med Educ. 2020 Mar 18;20(1):77
pubmed: 32183798
Public Health Nutr. 2009 Dec;12(12):2504-32
pubmed: 19278564