AR,
S. J., Pérez, A., Brown, H. S., & Reininger, B. M. Socioeconomic Status and
Prevalence of Obesity and Diabetes in a Mexican American Community, Cameron
County, Texas, 2004-2007.
Obesity and diabetes continue to be
a growing health concern in society today. In 2006, it was estimated that
greater then 20 million Americans had type two diabetes, and by 2050, this
number is projected to reach 39 million (AR, Pérez, Brown, et. al 1). In this
study, the authors examined the rate of obesity and diabetes in
Mexican-Americans in Cameron County, Texas and its relation to socioeconomic
status. As this area is located adjacent to the border with Mexico, there are
ongoing demographic as well as socioeconomic changes.
The authors conducted a study to
determine if minor economic advantages had any effect on health, specifically
obesity and diabetes rates. In order to do so, the authors created a “cohort”
of randomly selected individuals (AR, Pérez, Brown, et. al 2). All individuals
were Mexican-American and 68% were female. Less than one-fourth of the
participants had health insurance, “5% had Medicaid, and 5% had Medicaid
combined with privately managed care” (AR, Pérez, Brown, et. al 3). The authors
used census data to create four strata based on income. This data was then
adjusted with sampling weights to balance the high proportion of female
participants. Additionally, the participants were ranked by income and then
sampled in the first and last quartiles to provide a wider difference in income
then that seen in census data as well as
(AR, Pérez, Brown, et. al 3). The authors additionally used GIS to show
the "spatial distribution of households" by income as well as the density of the
sampling (AR, Pérez, Brown, et. al 3). The authors then geocoded the households with longitude and latitude coordinates
and crossed checked these locations with GPS to ensure accuracy of the sampling
area. The authors asked participants to fast ten hours prior to visiting where
they then calculated body mass index (BMI), measured waist circumference, took
blood pressure, and measured the blood glucose level.
Distribution of study participants by quartile |
The study showed that more then
one-half of participants had BMI that was considered to be in the obese range
(BMI greater then 30 kg/m2). By strata, there was slight difference
in obesity rates and income with lower four strata having an obesity rate of
57.5% and a rate of 55.5% in the higher strata (AR, Pérez, Brown, et. al 1).
There was a significant difference in undiagnosed diabetes between strata. The
authors concluded that individuals in a higher income strata were 7% less
likely to have undiagnosed diabetes (AR, Pérez, Brown, et. al 1). Additionally,
the study suggests that people between the ages of 55-64 in the lower
socioeconomic strata are more likely to have diabetes as higher rates were seen
among these individuals (AR, Pérez, Brown, et. al 1).
Graph showing "percent of participants with diabetes by age and socioeconomic status" |
I'm curious to know what variables were included in the "minor economic advantages" that the authors tested. It seems evident that the majority of Hispanic-Americans in Cameron County did not have health insurance, and that seems to me to be an economic disadvantage. A difference of only 7% between income rates for undiagnosed diabetes seems to suggest that other factors are at work other than income level.
ReplyDeleteWould this study present different or similar results by testing other communities of different ethic backgrounds or racial backgrounds? I agree with Danny when wondering what the "minor economic advantages" were.
ReplyDeleteThis is a cool study because it's so prevalent today. There are so many documentaries and studies going on about obesity, diabetes and how they can relate to socioeconomic income. It seems that those with lower income have higher rates because healthy food can be expensive and it's sometimes cheaper to buy unhealthier processed or fast food.
ReplyDeleteYeah this issue is very current, and not only that but your article goes into more details about the economic issue relating to obesity. I know by walking through Whole Foods that there products aren't cheap by any means and although they are "healthier" for you which is another study on its own but the healthier people think a food is the higher the price will go up. This is caused by economic drive and if lower to middle class people can't afford these foods then McDonalds and fast food or lower quality food is the outlet.
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