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Per population. There is potential for land use policies to have an influence on the location of new FF outlets. Discussion There are a large number of studies which have shown a significant relationship between lower area level socioeconomic status and higher availability of FF outlets. The relationship between obesity and the prevalence of fast food restaurants: Average exposure per block group. The use of spatial microsimulation SM modelling should be explored in this field of work [ 55 ]. Post a Comment. Content Retrieval. This may be due to several changes such as two parents working so less time to cook for family, relatively cheap Fast Food and food advertising [ 3 ]. Simmons Australia X adults Not
Home based party business canada how to make money off google. The conflicting results from the studies could be partly explained by a number of methodological issues: Get Document. Visit Document. Telephone Directory Restaurants Measure d Freq takeaway. Introduction One of the factors implicated in the obesity epidemic is the availability of inexpensive and unhealthy food. Fattening upon fast food. Data validation,
naics direct selling estabishments fraser business park mlm as physically visiting the study area by car to confirm the existence of such stores, was only performed in one study [ 20 ] where they visited the whole study
Ebay Should You Pay Shipping Make More Money Dropshipping Shopify Business Plan. No comments: Table 2. Sturm R, Datar A. These results were replicated when the study was repeated with the addition of three other major franchise chains Pizza Hut, Burger King, and Kentucky Fried Chicken [ 49 ]. Methods A semi-systematic review was undertaken. Obtaining accurate dietary data is difficult and time consuming but the use of food diaries or full FFQ to describe the whole diet of participants could allow for an increased understanding of the potential implications of increased availability of FF outlets. Pages Newer Post Older Post Home. One study [ 40 ] used the K clustering analysis to assess whether there was clustering of FF outlets around schools. Although many of the studies have used distances able to be walked in 5 to 10 minutes this does not account for the people who drive 5 or 10 minutes to a FF outlet from home or work. There are many other potential confounding factors in the association between FF outlets and obesity that were not considered in any of the studies, such as parental eating habits, parental physical activity levels and parental obesity. The other study with a positive result [ 33 ] aggregated their individual level data to perform a county level analysis. I Fom-digit industry code. Retrieve Content. Health Place.
Neighbourhood playgrounds; fast food restaurants and crime: One study used the cost surface actual distance travelled methods for walking, driving and public transport [ 26 ] and another three studies used network street distances [ 193646 ]. Growth Strategies. Shortest road distance. An ecological study of the relationships between social and environmental determinants of obesity. Document Retrieval. None of the studies adjusted for car access or home delivery of FF. Of the six individual studies which had a measure of deprivation only two [ 4648 ] found a positive association between increasing deprivation levels and FF exposure. Travel time. Multilevel model. Full text of 48 papers which potentially would fit the inclusion criteria were obtained and upon closer examination, 33 of these papers met the inclusion criteria, so were included in the final analysis. Schools access; dist. Handelsmanagement
How to start an online ticket selling business call center work at home equipment Retail Management Retailing retailing companies. Territorial Authority Database. Study Selection: Number FF per square mile.
Self reported weights are known to be prone to bias [ 50 ] but this would usually be underreporting of weight which would be unlikely to account for these findings. Fourteen of the studies included a measure of weight and height and therefore overweight or obesity status two of which focused solely on children: The inclusion criteria specified that the published material reviewed needed to have studied the geographical location of fast-food or takeaway outlets. Density; total number FF within 3 km road network from home Varity; same but number different FF outlets. In this type of analyses individual level variable and area level variables are not independent of each other and therefore traditional regression modelling techniques should not be used. Nearest distance also calculated. Interestingly when this group focused solely on Glasgow and included all food outlets, they found no association with socioeconomic status measured using the Scottish Index of Multiple Deprivation. Fetch Content. Available online: One of these, an early study by Cummins et al. The other four studies found no association [ 20 , 30 , 39 , 41 ]. Average exposure per block group. The buffer distances used were variable which makes comparison between studies difficult. Telephone Directory Restaurants Measure d Freq takeaway. None None None Census tract.
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