Table 4.

Association Between Insurance Type and CGM Use Stratified by Age.

Subgroup analysis by age group
Characteristic	OR	95% CI	P-value
Total cohort
Type of insurance
Private insurance	–	–
Government insurance	0.57	0.51, 0.63	<.001
Multiple insurance	0.83	0.66, 1.03	.093
Unknown	0.77	0.66, 0.91	.003
Uninsured	0.56	0.37, 0.84	.007
<18 years old
Type of insurance
Private insurance	–	–
Government insurance	0.75	0.64, 0.88	<.001
Multiple insurance	1.06	0.77, 1.44	.7
Unknown	0.74	0.60, 0.92	.006
Uninsured	0.6	0.33, 1.03	.072
18-64 years old
Type of insurance
Private insurance	–	–
Government insurance	0.41	0.33, 0.51	<.001
Multiple insurance	0.78	0.48, 1.23	.3
Unknown	0.78	0.58, 1.04	.1
Uninsured	0.53	0.27, 0.95	.043
≥65 years old
Type of insurance
Private insurance	–	–
Government insurance	0.56	0.37, 0.84	.005
Multiple insurance	0.66	0.38, 1.15	.15
Unknown	1.34	0.42, 4.25	.6
Uninsured	0		>.9

Abbreviations: CGM, continuous glucose monitoring; OR, odds ratio; CI, confidence interval.