Identifying fast-food restaurants using a central register as a measure of the food environment: engelsk
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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Identifying fast-food restaurants using a central register as a measure of the food environment : engelsk. / Toft, Ulla; Erbs-Maibing, Peter; Glümer, Charlotte.
engelsk. Bind 39 8. udg. 2011. s. 864-9 (Scandinavian Journal of Public Health).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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TY - CHAP
T1 - Identifying fast-food restaurants using a central register as a measure of the food environment
T2 - engelsk
AU - Toft, Ulla
AU - Erbs-Maibing, Peter
AU - Glümer, Charlotte
PY - 2011/12
Y1 - 2011/12
N2 - OBJECTIVE: To validate the identification and location of fast-food restaurants according to a government list of inspected food stores and restaurants.METHODS: Fast-food restaurants in the Capital Region of Denmark were identified using a government list of inspected food stores and restaurants (the Smiley register, spring 2010). Ground-truthing was used as the validation method and was performed in May and June 2010 in 125 randomly selected 250×250 m grid cells.RESULTS: A total of 186 fast-food restaurants was identified by ground-truthing and 99% of these were registered in the same grid cell by the Smiley register. However, only 152 restaurants of these were categorised as fast-food restaurants by both methods. The sensitivity was 82% and the positive predictive value was 92%. The mean±standard deviation position accuracy was 15±24 m.CONCLUSIONS: Using a government list of inspected restaurants was found to be a valid and useful alternative to expensive and time-consuming field observation and provided a relatively accurate tool for identifying and locating fast-food restaurants in communities.
AB - OBJECTIVE: To validate the identification and location of fast-food restaurants according to a government list of inspected food stores and restaurants.METHODS: Fast-food restaurants in the Capital Region of Denmark were identified using a government list of inspected food stores and restaurants (the Smiley register, spring 2010). Ground-truthing was used as the validation method and was performed in May and June 2010 in 125 randomly selected 250×250 m grid cells.RESULTS: A total of 186 fast-food restaurants was identified by ground-truthing and 99% of these were registered in the same grid cell by the Smiley register. However, only 152 restaurants of these were categorised as fast-food restaurants by both methods. The sensitivity was 82% and the positive predictive value was 92%. The mean±standard deviation position accuracy was 15±24 m.CONCLUSIONS: Using a government list of inspected restaurants was found to be a valid and useful alternative to expensive and time-consuming field observation and provided a relatively accurate tool for identifying and locating fast-food restaurants in communities.
KW - Choice Behavior
KW - Diet
KW - Fast Foods/adverse effects
KW - Food Preferences
KW - Humans
KW - Predictive Value of Tests
KW - Public Health
KW - Registries
KW - Restaurants/statistics & numerical data
KW - Social Environment
KW - Socioeconomic Factors
U2 - 10.1177/1403494811423431
DO - 10.1177/1403494811423431
M3 - Book chapter
C2 - 21969329
VL - 39
T3 - Scandinavian Journal of Public Health
SP - 864
EP - 869
BT - engelsk
ER -
ID: 259569511