Childhood obesity has more than tripled in American adolescents
in the past decade. Nearly 32% of American children are overweight or obese.
Obesity
has rapidly increased in children ages 1-18 and is continuing to grow. One’s body
weight is measured as a BMI, which means body mass index and also depends on
the person’s height, not just their weight. In general, being “overweight” is
measured at a BMI of 25-29.9 and being “obese” is measured at a BMI greater
than 30. Of the large population of adolescents, 80% of children who are considered
overweight or obese are ages 10 to 15. Obesity is a huge problem within itself,
but it also can lead to greater issues like, heart disease, diabetes, high
blood pressure, high cholesterol, etc. Through active surveillance, it’s clear
that child obesity is an epidemic. The USDA notes the on energy intake, energy
expenditure, and "energy balance," who eat more "empty
calories" and expend fewer calories through physical activity are more
likely to be obese than other children.
There
really is a wide array of direct indicators for why obesity is so prevalent in
our modern society. “Many kids are spending less time exercising and more time
in front of the TV, computer, or video-game console. And today's busy families
have fewer free moments to prepare nutritious, home-cooked meals.” From fast
food to electronics, quick and easy is the reality for many people. The
technology era has more than taken over our social lives, but now has taken
over our ability to maintain a healthy diet for the children. Another potential
direct indicator could be the media. While kids are sitting down watching TV,
they experience dozens of commercials about fried and greasy foods that are
psychologically designed to make you want to have them.
In
contrast, indirect indicators do not directly measure the problem, but instead
measure related factors. Some factors that can help contribute to the obesity
are the change in children's environment over the past three decades to
distraught the energy balance equation. In particular, the USDA examines
changes in the food market in schools and childcare settings, and in the role
of parents—paying attention to the timing of these changes. In supermarkets and
in some, not all, school cafeteria foods, the healthy foods are priced higher
than the sweet and salty snacks. These types of underlying factors can also
lead to obesity.
Both
indirect and direct indicators can be widely varied as well as their
significance to contributing to obesity. The USDA’s statistics are reliable
because they preformed control studies over a period time to gain the data.
But, statistics showing sample size studies can’t always be accurate because
they can be biased based on certain parts f the region, race, culture,
etc.
Work Cited:
Hi Laura,
ReplyDeleteOK, I think your problem definition works well. You mention active surveillance as giving researchers a clue that obesity is an "epidemic". I can see what you mean, but explain a bit more about active surveillance here.
Regarding the indicators, you actually I think mentioned all indirect indicators. A direct indicator for obesity might be a child's weight, BMI, abdominal girth, or maybe their growth curve. Indirect indicators are time in front of the TV, eating poorly, decreased time exercising, etc. are indirect indicators.
Regarding your citations, thanks for listing them at the end. Recall, though, that citations need to be listed in a certain style (either APA or MLA is fine) and also, you MUST refer to them in the body of your text. For instance, you put a statement in quotations, but then, you don't let your reader know where you got the statement. For the rest of the blogs, and your paper you gotta do this in order to avoid plagiarism. Finally, the children's defense fund is a great resource, but the VAXA website is probably less accurate (it's a business). We can talk about this more in person to be sure you have good citations for your paper.
Regarding the strengths and weaknesses of your statistics, I think I think you're saying because there was a sample population, some could be left out? But the USDA did separate by race/ethnicity, etc. How would you increase the accuracy of the statistics?
Erin