Multilevel logistic regression oddsratio statement in GLIMMIX

[alevinrec]

Can someone enlighten me as to why these different model specifications output different values for select odds ratios (highlighted)? And which is correct?

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_sub = 0;
run;

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(label at count=1.6832 at dep_length_months=6.8151 at first_mos_begin=18.594 at waiver=0.5048 at age=19.794 at sex=0.9767);
	random intercept / subject = randomid_adsaged;
	covtest / wald;
	output out=nonmiss_data / nomiss;
	where prior_ptsd = 0;
run;

[ballardw]

The most obvious thing is

model subabuse (event="1")

vs

model ptsd (event="1")

Given different models I would expect different odds ratios

[alevinrec]

Sorry that was a typo. The outcome is ptsd in both models.