Long-time subscribers to this list will be all-too-familiar with my 
continuing dissing of the traditional cut-offs for overweight and 
obesity. My contention (stop rolling your eyes!) is that claims of an 
epidemic of obesity are enhanced by using cut-offs which are too low 
for the real relation of body mass index (BMI) to mortality.

Here's a new study which supports that contention, at least for men.

It's:

Gronniger, J. (2006). A semiparametric analysis of the relationship 
of body mass index to mortality. American Journal of Public Health, 
96, 173-178.

I don't have a clue about semiparametric analysis, and I don't yet 
have the paper. But according to the abstract, "normal" weight men 
(BMI 20-25), are just as likely to buy the farm as men conventionally 
classified as obese (BMI 30-35).  Really! Minimum risk is at a BMI of 
26, which is conventionally classed as overweight.

For women, lowest risk was within the normal range (at 23-24 BMI) but 
the risk began to rise steadily only above 27. 

Gronniger also says "In each specification, the slope of the line was 
small and volatile through the BMI range of 20-35, suggesting 
negligible risk differences with minor differences in weight for much 
of the population". 

He concludes "Traditional BMI categories do not conform well to the 
complexities of the BMI-mortality relationship. In concurrence with 
conclusions from previous literature, I found that the current 
definitions of obesity and overweight are imprecise predictors of 
mortality risk". My translation: the cut-offs are too low, dummy!

And the bottom line seems to be that it's time doctors let up a bit 
on scaring overweight people into dieting by telling them to slim 
down or die. 

Gronniger's with the Congressional Budget Office, Washington, D.C. I 
wonder whether he's going to get in trouble for saying that.

There are some things left unsaid in the abstract. I'd like to see 
what the results look like for non-smokers, because smokers have 
other more important things to worry about than obesity. And the data 
may look different as a function of race. I recall that in one study, 
Black women didn't show an increase in mortality with even very high 
values of BMI.

Stephen
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Stephen L. Black, Ph.D.          
Department of Psychology     
Bishop's University                e-mail:  [EMAIL PROTECTED]
Lennoxville, QC J1M 1Z7
Canada

Dept web page at http://www.ubishops.ca/ccc/div/soc/psy
TIPS discussion list for psychology teachers at
http://faculty.frostburg.edu/psyc/southerly/tips/index.htm
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