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. 2023 Apr;82(4):83–88.

Table 4.

Regression Model for Length of Stay (LOS) and Severity of Illness (SOI) for those with a Primary Diagnosis of Depression, HHIC 2007-2017 (n = 3579)

Variables LOS Initial Visit SOI
Age: Years 0.17 (SE = 0.01), P < .001 0.04 (SE = 0.003), P < .001
Island: O‘ahu 0.6 (SE = 0.43), P = .157 0.08 (SE = 0.08), P = .358
Sex: Male -0.21 (SE = 0.4), P = 606 0.1 (SE = 0.08), P = .211
% Public insurance 1.34 (SE = 0.42), P = .002 0.52 (SE = 0.08), P < .001
Race ethnicity: Chinese 2.58 (SE = 1.26), P = .040 0.71 (SE = 0.27), P = .010
Japanese 3.19 (SE = 0.59), P < .001 0.52 (SE = 0.12), P < .001
Korean 1.38 (SE = 1.64), P = .401 0.66 (SE = 0.34), P = .051
Filipino 1.32 (SE = 0.67), P = .048 0.37 (SE = 0.13), P = .005
Native Hawaiian 0.03 (SE = 1.05), P = .974 0.22 (SE = 0.2), P = .281
Model fit 0.08 0.09

Note: LOS was multiple regression and SOI was logistic regression meaning that model fit for the LOS model was adjusted R Square and the model fit for the logistic regression was Pseudo R-Square. All variables in the model are shown.