Report for: Absolute and relative densities of fast-food versus other restaurants in relation to weight status: Does restaurant mix matter? (2024)

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Overview of attention for article published in Preventive Medicine, November 2015

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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 X users

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mendeley
169 Mendeley

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Title

Absolute and relative densities of fast-food versus other restaurants in relation to weight status: Does restaurant mix matter?

Published in

Preventive Medicine, November 2015

DOI10.1016/j.ypmed.2015.11.008
Pubmed ID
Authors

Jane Y. Polsky, Rahim Moineddin, James R. Dunn, Richard H. Glazier, Gillian L. Booth

Abstract

Given the continuing epidemic of obesity, policymakers are increasingly looking for levers within the local retail food environment as a means of promoting healthy weights.To examine the independent and joint associations of absolute and relative densities of restaurants near home with weight status in a large, urban, population-based sample of adults.We studied 10,199 adults living in one of four cities in southern Ontario, Canada, who participated in the Canadian Community Health Survey (cycles 2005, 2007/08, 2009/10). Multivariate models assessed the association of weight status (obesity and body mass index) with absolute densities (numbers) of fast-food, full-service and other restaurants, and the relative density (proportion) of fast-food restaurants (FFR) relative to all restaurants within ~10-minute walk of residential areas.Higher numbers of restaurants of any type were inversely related to excess weight, even in models adjusting for a range of individual covariates and area deprivation. However, these associations were no longer significant after accounting for higher walkability of areas with high volumes of restaurants. In contrast, there was a direct relationship between the proportion of FFR relative to all restaurants and excess weight, particularly in areas with high volumes of FFR (e.g., Odds Ratio for obesity=2.55 in areas with 5+ FFR, 95% Confidence Interval: 1.55-4.17, across the interquartile range).Policies aiming to promote healthy weights that target the volume of certain retail food outlets in residential settings may be more effective if they also consider the relative share of outlets serving more and less healthful foods.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

CountryCountAs %
Canada350%
United Kingdom117%
United States117%
Unknown117%

Demographic breakdown

TypeCountAs %
Members of the public350%
Practitioners (doctors, other healthcare professionals)233%
Scientists117%
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

CountryCountAs %
United Kingdom1<1%
United States1<1%
Canada1<1%
Unknown16698%

Demographic breakdown

Readers by professional statusCountAs %
Student > Master3118%
Student > Ph. D. Student2012%
Researcher1811%
Student > Bachelor169%
Student > Postgraduate85%
Other3521%
Unknown4124%
Readers by disciplineCountAs %
Medicine and Dentistry2716%
Social Sciences1911%
Nursing and Health Professions1811%
Agricultural and Biological Sciences95%
Business, Management and Accounting85%
Other3118%
Unknown5734%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 February 2016.

All research outputs

#7,714,335

of 25,373,627 outputs

Outputs from Preventive Medicine

#2,653

of 5,009 outputs

Outputs of similar age

#88,822

of 293,254 outputs

Outputs of similar age from Preventive Medicine

#28

of 49 outputs

Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.

So far Altmetric has tracked 5,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.

Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 293,254 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.

We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.

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Report for: Absolute and relative densities of fast-food versus other restaurants in relation to weight status: Does restaurant mix matter? (2024)

FAQs

What is the effect of fast food restaurants on obesity and weight management? ›

Fast food and BMI

Fast food is associated with higher body mass index, less successful weight-loss maintenance and weight gain. Fast foods reduce the quality of diet and provide unhealthy choices especially among children and adolescents raising their risk of obesity.

What is the relationship between obesity and the prevalence of fast food restaurants? ›

The entire model explained 70% of the total variance in state obesity rates. Conclusions: These results indicate a correlational relationship between both the number of residents per fast food restaurant and the square miles per fast food restaurants with state-level obesity prevalence.

Why is eating out at restaurants associated with weight gain and or obesity? ›

The study found eating in fast-food restaurants to be associated with higher total fat intake, saturated fat intake, and lower vegetable intake.

What are the statistics of fast food? ›

The average American household spends 10% of their annual income on fast food. People who earn more money tend to eat more fast food than those who earn lower incomes. Lunchtime is the most popular time to eat fast food. 34% of children eat fast food on any given day.

Is there a relationship between fast food and being fat? ›

Choosing a typical fast food meal every day can lead to increased calories which can lead to weight gain and can lead to other health conditions like heart disease.

What is the correlation between junk food and obesity survey? ›

It appears that out of 82 subjects who consumed junk food, 21 of them were obese (25.6%) while of 93 subjects who did not consume junk food, 11 were obese (11.8%). The prevalence of obesity was 18.3%, covering 12% in the group that consumed junk food and 6.3% in the group that did not consume junk food.

Are higher densities of fast food and full service restaurants are not associated with obesity prevalence? ›

Variations in the densities of FFRs and FSRs are not linked to the prevalence of obesity in the United States, and food consumed in these establishments is responsible for <20% of total energy intake.

Why does fast food increase obesity? ›

It's usually high in calories and fat. It's processed food that is packed with additives and often is fried before it's slapped on a plate or put in a wrapper. Fast food costs less, it's quick, and it's easy to get a hold of a large sack that holds more food than one person needs.

How does the food industry affect obesity? ›

The food industry also alters the nutritional content of foods to make them longer lasting on store shelves by increasing fats, sugars, and salt, making it less healthy for the average person to consume them. Much evidence shows that individuals are not the cause of America's obesity epidemic.

Should we blame fast food restaurants for obesity? ›

Overall, the study suggests that proximity to fast food significantly increases the risk of obesity. One possible explanation is that proximity to fast food reduces the costs of fast food, principally travel costs. A second explanation is that easier access to fast food tempts consumers who have self-control problems.

Which food has the lowest energy density? ›

The healthiest lower energy-dense choices are foods that are high in protein but low in fat and calories, such as:
  • Beans, peas and lentils, which are also good sources of fiber.
  • Fish.
  • Lean meat and poultry.
  • Low-fat or fat-free dairy products, such as milk, yogurt and cheese.
  • Egg whites.

What is the number one cause of obesity? ›

Diet and lifestyle factors contribute to development of obesity and overweight. Some of the most common ones are: eating large amounts of processed or fast food – this is food that's high in fat and sugar. drinking too much alcohol – alcohol contains a lot of calories.

What are 5 facts about fast food? ›

Fast Food Industry Analysis:
  • 3) McDonald's Owns 39,000 Locations (source )
  • 4) 37% of U.S. Adults Consume Fast Food Every Day (source )
  • 5) One Third of Children Eat Fast Food on a Daily Basis (source )
  • 6) 30% of Fast Food Restaurants are Offering Healthier Items on Kids' Menus (source )

What are the demographics of fast food consumers? ›

The percentage of adults who consumed fast food decreased with age: 44.9% aged 20–39, 37.7% aged 40–59, and 24.1% aged 60 and over. A higher percentage of non-Hispanic black adults consumed fast food than non-Hispanic white, non-Hispanic Asian, and Hispanic adults.

Which fast food chain is #1 in customer satisfaction? ›

The survey found that America's favorite fast-food chain is Chick-fil-A, which had a satisfaction score of 85, a 2% improvement over last year.

What are the effects of eating at fast food restaurants? ›

Such risks include obesity, insulin resistance, type 2 diabetes, and various cardiovascular conditions. This is because most fast food is high in sugar, salt, saturated fat, trans fats, processed ingredients, and calories. It is also generally low in antioxidants, fiber, and many other nutrients.

What were the consequences of fast food addiction and obesity? ›

Unfortunately, habitually consuming fast food is associated with obesity, heart disease, blood lipid disorders, and other health problems. More than a third of Americans consume at least some fast food every day. Fast food addiction leads you to consume such foods, even when healthier options are available.

Why is the fast food industry not to blame for obesity? ›

For several years, many have been quick to attribute rising fast-food consumption as the major factor causing rapid increases in childhood obesity. However a new study found that fast-food consumption is simply a byproduct of a much bigger problem: poor all-day-long dietary habits that originate in children's homes.

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