Multilevel logistic regression oddsratio statement

[alevinrec]

Can someone enlighten me as to why these different model statement specifications produce different results for some values?

proc glimmix data=deployments_and_dwells ic=pq;
	class randomid_adsaged dwellratio_cat(ref='low') officer2_begin marital_status_begin occupation_begin officer2_end marital_status_end occupation_end ;
	model ptsd (event="1") = dwellratio_cat dep_length_months count dwellratio_cat*count first_mos_begin waiver age sex 
		/ dist=binary link=logit ddfm=bw solution cl oddsratio;
	random intercept / subject = randomid_adsaged;
	covtest / wald;
	output out=nonmiss_data / nomiss;
	where prior_ptsd = 0;
run;

proc glimmix data=deployments_and_dwells ic=pq oddsratio;
	class randomid_adsaged dwellratio_cat(ref='low') officer2_begin marital_status_begin occupation_begin officer2_end marital_status_end occupation_end ;
	model ptsd (event="1") = dwellratio_cat dep_length_months count dwellratio_cat*count first_mos_begin waiver age sex 
		/ dist=binary link=logit ddfm=bw solution cl oddsratio(label at count=1.6832 at dep_length_months=6.8143 at first_mos_begin=18.588 at waiver=0.5048 at age=19.791 at sex=0.9767);
	random intercept / subject = randomid_adsaged;
	covtest / wald;
	output out=nonmiss_data / nomiss;
	where prior_ptsd = 0;
run;

[Rick_SAS]

In the first MODEL statement, the ODDSRATIO option evaluates the odds ratios where the continuous variables are set to their mean values.  In the second MODEL statement, the ODDSRATIO( at ... ) syntax evaluates the oddsratios at the specified values of the continuous variable. These are not the same values. For example, first_mos_begin=18.588 and age=19.791 are different values than in the first call.