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Table 3 Models for the healthcare utilization multiplier predicted by each sensitivity after adjusting for age and sex only for the subsample with a prior sensitivity test (n = 184)

From: Common allergies in urban adolescents and their relationships with asthma control and healthcare utilization

Types of allergies

Hospitalization exp (b)a (95% CI)

ED visits exp (b)a (95% CI)

Acute office visits exp (b)a (95% CI)

Specialist visits exp (b)a (95% CI)

Cockroach

1.422 (0.322, 6.285) p = 0.642

0.942 (0.517, 1.716) p = 0.845

1.155 (0.746, 1.789) p = 0.518

2.292 (1.465, 3.585) p < 0.001

Mice

0.470 (0.162, 1.368) p = 0.166

1.036 (0.581, 1.848) p = 0.904

0.730 (0.439, 1.212) p = 0.223

0.798 (0.506, 1.258) p = 0.331

Pets

0.807 (0.167, 3.899) p = 0.789

1.037 (0.584, 1.841) p = 0.902

1.064 (0.672, 1.686) p = 0.792

1.001 (0.673, 1.489) p = 0.996

Dust mite

0.220 (0.032, 1.533) p = 0.126

1.283 (0.587, 2.804) p = 0.532

1.562 (0.853, 2.863) p = 0.149

1.507 (0.885, 2.568) p = 0.131

Plants

1.464 (0.327, 6.552) p = 0.619

0.700 (0.384, 1.277) p = 0.245

0.895 (0.541, 1.481) p = 0.667

1.236 (0.714, 2.139) p = 0.449

Any food

0.912 (0.298, 2.791) p = 0.871

0.785 (0.440, 1.402) p = 0.413

1.142 (0.716, 1.819) p = 0.578

1.037 (0.696, 1.545) p = 0.857

Number of allergies

1.020 (0.868, 1.198) p = 0.811

0.955 (0.883, 1.033) p = 0.247

1.095 (1.019, 1.178) p = 0.014

1.092 (1.028, 1.159) p = 0.004

  1. aMultiplicative regression coefficients from the zero-inflated Poisson regression: values greater than 1 indicate an increased number of healthcare utilizations predicted for teens with the sensitivity while values less than 1 indicate a prediction of lower healthcare utilization with that sensitivity