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Also, I might add, the article you are quoting (that was part of an Ohio State archive), is six years old, using SNAP data from 1984-2002.
Yes, it's a LONGITUDINAL study. Do you know what that means? Longitudinal studies follow the same people for years, in this case, nearly 20 years. That's what makes the findings so valuable. The results aren't a snapshot. They're nearly 2 decades worth of data collected on the same people.
What? My response includes references to both the University longitudinal study and the USDA data.
Thank you, though, for continuing this discussion which enables me to inform all that those who receive food stamps have a higher obesity rate, even when controlled for income, education, and residential location.
You cannot cross pollinate data or outcomes from five different studies and reports, lol.
Those? You're lunping everyone together too. You cannot do this.
You should spend some time on a Coursera statistics course. It would then inform you of how silly you sound by repeating these things without any rational basis or understanding of research and stats.
Explain to us though, what "control" means in your own words, statistician. I didn't see anything in the full article regarding residential location--what geographical identifier did Zagorsky use?
Also, you never answered why White women receiving SNAP gained double the rate of pounds as their Black female counterparts did on your own 2006 quoted study?
Yes, it's a LONGITUDINAL study. Do you know what that means? Longitudinal studies follow the same people for years, in this case, nearly 20 years. That's what makes the findings so valuable. The results aren't a snapshot. They're nearly 2 decades worth of data collected on the same people.
The researcher analyzed data pulled from the NSLY dataset.
The data is old. That's the point. There's tons of recent articles doing the same thing, using more recent data from the same program. You just had to search high and low to find a web site page embedded in an Ohio State archive, to try to further your agenda.
You cannot cross pollinate data or outcomes from five different studies and reports, lol.
There is no cross pollination. Both studies I cited find that food stamp recipients have higher obesity rates. One, a snapshot; the other, longitudinal.
The researcher analyzed data pulled from the NYSL dataset.
The data is old. That's the point.
Do you have data more recent than May 2015 (USDA release) that finds that food stamp recipients don't have a higher obesity rate than income-eligible nonparticipants and those with higher incomes?
There is no cross pollination. Both studies I cited find that food stamp recipients have higher obesity rates. One, a snapshot; the other, longitudinal.
Yes, that's cross pollination. You can't smush one study looking at a subset of people from 1984-2002, that may report X. Then take another study from 2012, that may report Y. Then include a percentage or rate from a third report, from another entity with a audit focus rather than a study, that may report Z. Finally, take all these different things together and design your own outcome.
It's not only illogical, it's against the principles of research.
I found multiple, recent PubMed studies that state differently. I can't pick and choose what I want to fit a theme. That's kinda what you're doing here and disregarding everything else every other poster is noting or contributing to the thread.
Why are white women receiving SNAP in the Zagorsky study gaining double the rate as their Black counterparts?
Do you have data more recent than May 2015 (USDA release) that finds that food stamp recipients don't have a higher obesity rate than income-eligible nonparticipants and those with higher incomes?
Yes, I linked quite a few recent 2015 articles about 20 pages ago but you disregarded those too for the sake of repeating the same three things.
A combination of eating more and exercising less. Next question.
Yep. Obesity doesn't discriminate. Eating too much results in higher obesity rates regardless of race or ethnicity.
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