A nearby restaurant for food that may not affect the weight of the children: Study
A new paper in the Q Open finds that the availability of fast-food restaurants on the line between the homes of the children and also their schools does not affect the weight of the children.
Reducing child obesity is a major public health issue in the United States where obesity rates are 18.4% for those aged 6-11 and 20.6% for those aged 12-19. Childhood obesity is a marked risk factor for adverse physical and mental health consequences. Obese children are more likely to be obese and have health problems associated with them.
Researchers have suggested that access to affordable healthy food options could be a significant factor in childhood weight loss. Many public health statistics are concerned about the role of fast-food restaurants in food consumption and leading to obesity in children.
Local governments in the United States have the power to influence baby food choices through the design process. Several cities which also includes Austin, Texas, and also New York, have considered the restaurants near the schools.
This article examines the effect of fast food on the effects of children’s weight on gender, race, and location.
Researchers have used a novel screening strategy based on changes in fast food exposure on the route between home and school as students progress through the public school program and switch to different types of schools, e.g. schools in high schools.
Researchers here used the Arkansas Student Body Mass Index, collected from 2004 to 2010, and matched it to home and school addresses with school enrollment records each year. The home address is used to geocode the student’s residence.
Investigators have found fast food restaurants on the route between children’s homes and their schools. Fast food restaurants include large hamburger chains and car-driven restaurants (e.g. McDonald’s, Burger King, Wendy’s), dairy shops with large fast food menus (e.g., Dairy Queen), pizza delivery areas, active taco sites immediately (e.g., Taco Bell). Sandwich delicatessens (e.g., Subway, Quiznos), and restaurants for fried chicken (e.g., KFC, Chick-Fil-A). Investigators have released specialized stores such as ice cream that do not sell other fast food (e.g., Basin-Robbins), coffee shops (e.g. Starbucks), and donut stores (e.g. Crispy Kream).
Using a six-mile distance to describe exposure near home and school, the total exposure level means 3.34 restaurants. Most of the children in the sample were exposed to zero within 0.5 miles of home (69.6%). In contrast, 45.2% of children have at least one fast-food restaurant located 0.5 km from their school.
Researchers then measured changes in fast food delivery as students changed schools due to the natural progress of the school system over time, for example, the transition from elementary school to high school, and thus varied in fast-food restaurants. Researchers have found that changes in exposure have no effect on BMI scores.
For example, an increase in fast food exposure through three restaurants from grade 4 to 10 has increased the value change in BMI by .003, less than one percent (0.7%) of standard deviation.
Finally researchers did not find a meaningful relationship between exposure to fast food on the way to school and BMI. This conclusion covers different ages of children and examples of gender, race, and nationality. The researchers also found that there was no difference in income as measured by whether a child was eligible for free lunch or at reduced prices or between urban and rural children.
These findings suggest that the easy exposure of fast food centers in the grocery store has not been a key factor in gaining weight for children. While it may be that fast food restaurants are concerned but their effects on BMI are long lasting, researchers found no evidence that long exposures such as grade 4 to 8 changes vary from reasonable to 4 to 6 or 6 to 6. -8-grade change.
The paper’s author Michael R. Thomsen said that the policies that impose restrictions on human and commercial activity are very costly. He said that they see this in the response to Covid-19. He also said that even with the best of intentions, people reject efforts to suppress them.
He further continued saying that if governments are to follow a strategy that requires time and financial resources for the policy to be passed and enforced, it must be a tangible goal, not just a feeling of accomplishment. , policies that combat fast food restrictions may not be conducive to the return of public health.