The foodscape: classification and field validation of secondary data sources.
The aims were to: develop a food environment classification tool and to test the acceptability and validity of three secondary sources of food environment data within a defined urban area of Newcastle-Upon-Tyne, using a field validation method. A 21 point (with 77 sub-categories) classification tool was developed. The fieldwork recorded 617 establishments selling food and/or food products. The sensitivity analysis of the secondary sources against fieldwork for the Newcastle City Council data was good (83.6%), while Yell.com and the Yellow Pages were low (51.2% and 50.9%, respectively). To improve the quality of secondary data, multiple sources should be used in order to achieve a realistic picture of the foodscape.
Lake
Amelia A
AA
Applied Biosciences, School of Applied Sciences, Northumbria University, Ellison Building, Newcastle upon Tyne NE18ST, UK. Amelia.lake@northumbria.ac.uk
Burgoine
Thomas
T
Greenhalgh
Fiona
F
Stamp
Elaine
E
Tyrrell
Rachel
R
D001294:Attitude to Health; D003132:Commerce / Q000145:classification* / Q000706:statistics & numerical data; D003256:Community Participation; D003625:Data Collection / Q000379:methods* / Q000592:standards; D004181:Directories as Topic; D005247:Feeding Behavior / Q000523:psychology; D005518:Food Preferences / Q000523:psychology; D005523:Food Supply / Q000706:statistics & numerical data*; D040362:Geographic Information Systems; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D052756:Nutritional Sciences / Q000193:education; D009765:Obesity / Q000209:etiology / Q000517:prevention & control; D011237:Predictive Value of Tests; D012111:Residence Characteristics; D012147:Restaurants / Q000145:classification* / Q000706:statistics & numerical data; D012680:Sensitivity and Specificity; D017062:Small-Area Analysis; D012931:Social Environment; D006113:United Kingdom