Group-based trajectory analysis identifies varying diabetes-related cost trajectories among type 2 diabetes patients in Texas: an empirical study using commercial insurance

Table 3 Univariable and multivariable logistic regression analyses of low stable cost vs. increasing cost over 4 years. (N = 98,973)

Variable	Odds Ratio	95% Confidence Interval	P-value
Univariable analysis
Age (continuous)	1.006	1.005–1.008	< 0.0001
Sex (female vs. male)	0.886	0.864–0.908	< 0.0001
Baseline A1C (continuous)	1.237	1.225–1.249	< 0.0001
Complication (short vs. none)	1.691	1.640–1.744	< 0.0001
Complication (long vs. none)	1.565	1.504–1.629	< 0.0001
Complication (Both short and long vs. none)	4.608	4.267–4.976	< 0.0001
Metro status (non-metro vs. metro)	1.110	1.072–1.151	< 0.0001
Charlson Comorbidity Index (continuous)	1.203	1.187–1.218	< 0.0001
Multivariable analysis
Age (continuous)	1.002	1.000–1.003	0.0397
Sex (female vs. male)	0.976	0.942–1.011	0.1717
Baseline A1C (continuous)	1.188	1.176–1.200	< 0.0001
Complication (short vs. none)	1.562	1.496–1.631	< 0.0001
Complication (long vs. none)	1.497	1.414–1.584	< 0.0001
Complication (Both short and long vs. none)	3.545	3.185–3.944	< 0.0001
Metro status (non-metro vs. metro)	1.105	1.046–1.167	0.0004
Charlson Comorbidity Index (continuous)	1.133	1.113–1.154	< 0.0001

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