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. 2023 Aug 27;15(17):4284. doi: 10.3390/cancers15174284

Table 3.

Multilevel Cox proportional hazards modeling incorporating random intercepts for unobserved county-level variability using the SEER.

Model 1 Model 2 Model 3
aHR p-Value Upper 99%CI Lower 99%CI aHR p-Value Upper 99%CI Lower 99%CI aHR p-Value Upper 99%CI Lower 99%CI
Race/ethnicity (ref = Non-Hispanic White population)
Non-Hispanic Black population 1.64 <0.001 1.54 1.74 1.22 <0.001 1.14 1.30 1.19 <0.001 1.12 1.27
Hispanics 1.11 <0.001 1.03 1.20 0.89 <0.001 0.83 0.96 0.90 <0.001 0.83 0.97
Non-Hispanic Asian Pacific Islander population 0.79 <0.001 0.70 0.88 0.66 <0.001 0.59 0.74 0.67 <0.001 0.60 0.75
Non-Hispanic American Indian/Alaska
Native population
1.88 <0.001 1.42 2.48 1.35 0.006 1.02 1.79 1.33 0.007 0.99 1.76
Individual-level characteristics
Stage at diagnosis (ref = local)
Regional 2.74 <0.001 2.50 2.98 2.74 <0.001 2.51 2.99
Distant 24.78 <0.001 23.44 26.18 24.74 <0.001 23.42 26.14
Gleason Score (ref = GS6)
GS7 1.96 <0.001 1.71 2.25 1.96 <0.001 1.71 2.24
GS8 4.27 <0.001 3.73 4.91 4.27 <0.001 3.73 4.91
GS9 6.92 <0.001 6.07 7.86 6.90 <0.001 6.06 7.86
GS10 10.56 <0.001 8.94 12.48 10.47 <0.001 8.86 12.36
Not carried out/unknown 6.89 <0.001 4.11 5.27 6.89 <0.001 4.11 5.27
Surgery (ref = no)
Yes 0.54 <0.001 0.50 0.58 0.54 <0.001 0.50 0.58
Year of diagnosis
2011 vs. 2007 0.91 <0.001 0.90 0.93 0.91 <0.001 0.90 0.93
Insurance status at diagnosis
(vs. no insurance)
Any Medicaid 0.68 <0.001 0.59 0.79 0.68 <0.001 0.59 0.79
Insured 0.44 <0.001 0.38 0.50 0.44 <0.001 0.39 0.50
County-level characteristics
County-level SES (Q5 vs. Q1)
Less than high school 0.97 0.633 0.88 1.15
At least bachelor-level 0.82 0.001 0.70 0.95
Unemployment 0.96 0.273 0.87 1.06
Poverty/Income 1.10 0.091 0.95 1.27
Foreign-born/Language-isolated 1.14 0.043 0.96 1.36
County metro/non-metro
Non-metropolitan (vs. metro) 1.03 0.459 0.94 1.16
County region (vs. West)
Midwest 1.00 0.982 0.89 1.13
Northeast 0.89 <0.001 0.82 0.97
South 1.10 0.013 0.97 1.21

Model 1: adjusted for marital status and age; Model 2: adjusted for model 1 covariates and clinical and individual-level characteristics; Model 3: adjusted for model 2 covariates and county-level socioeconomic and demographic characteristics; abbreviations: GS = Gleason Score, PCa = Prostate Cancer, Q = Quintile.