Identifying fast-food restaurants using a central register as a measure of the food environment

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Identifying fast-food restaurants using a central register as a measure of the food environment. / Toft, Ulla; Erbs-Maibing, Peter; Glümer, Charlotte.

engelsk. Vol. 39 8. ed. 2011. p. 864-9 (Scandinavian Journal of Public Health).

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Toft, U, Erbs-Maibing, P & Glümer, C 2011, Identifying fast-food restaurants using a central register as a measure of the food environment. in engelsk. 8 edn, vol. 39, Scandinavian Journal of Public Health, pp. 864-9. https://doi.org/10.1177/1403494811423431

APA

Toft, U., Erbs-Maibing, P., & Glümer, C. (2011). Identifying fast-food restaurants using a central register as a measure of the food environment. In engelsk (8 ed., Vol. 39, pp. 864-9). Scandinavian Journal of Public Health https://doi.org/10.1177/1403494811423431

Vancouver

Toft U, Erbs-Maibing P, Glümer C. Identifying fast-food restaurants using a central register as a measure of the food environment. In engelsk. 8 ed. Vol. 39. 2011. p. 864-9. (Scandinavian Journal of Public Health). https://doi.org/10.1177/1403494811423431

Author

Toft, Ulla ; Erbs-Maibing, Peter ; Glümer, Charlotte. / Identifying fast-food restaurants using a central register as a measure of the food environment. engelsk. Vol. 39 8. ed. 2011. pp. 864-9 (Scandinavian Journal of Public Health).

Bibtex

@inbook{7e0ec6a04c7d4324b446fd9ed26d0ed6,
title = "Identifying fast-food restaurants using a central register as a measure of the food environment",
abstract = "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.",
keywords = "Choice Behavior, Diet, Fast Foods/adverse effects, Food Preferences, Humans, Predictive Value of Tests, Public Health, Registries, Restaurants/statistics & numerical data, Social Environment, Socioeconomic Factors",
author = "Ulla Toft and Peter Erbs-Maibing and Charlotte Gl{\"u}mer",
year = "2011",
month = dec,
doi = "10.1177/1403494811423431",
language = "English",
volume = "39",
series = "Scandinavian Journal of Public Health",
publisher = "SAGE Publications",
pages = "864--9",
booktitle = "engelsk",
edition = "8",

}

RIS

TY - CHAP

T1 - Identifying fast-food restaurants using a central register as a measure of the food environment

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: 259569235