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Table 2 Models for the healthcare utilization multiplier predicted by each allergy after adjusting for age and sex (N = 313)

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

2.151 (1.053, 3.398) p = 0.0357

1.368 (0.955, 1.960) p = 0.087

1.395 (0.990, 1.964) p = 0.057

2.152 (1.489, 3.110) p < 0.001

Mice

1.079 (0.536, 2.174) p = 0.832

1.570 (1.092, 2.257) p = 0.0148

1.076 (0.725, 1.596) p = 0.716

1.029 (0.698, 1.518) p = 0.885

Pets

1.723 (0.805, 3.689) p = 0.161

1.233 (0.852, 1.783) p = 0.267

1.146 (0.811, 1.619) p = 0.441

1.178 (0.837, 1.658) p = 0.348

Dust mite

1.017 (0.532, 1.945) p = 0.959

1.149 (0.785, 1.682) p = 0.474

1.216 (0.856, 1.727) p = 0.275

1.543 (1.021, 2.333) p = 0.040

Plants

1.687 (0.839, 3.391) p = 0.142

0.876 (0.605, 1.270) p = 0.486

0.976 (0.692, 1.376) p = 0.889

1.210 (0.803, 1.822) p = 0.362

Any food

0.689 (0.307, 1.548) p = 0.363

0.681 (0.455, 1.020) p = 0.063

1.052 (0.735, 1.506) p = 0.782

0.928 (0.647, 1.333) p = 0.687

Number of Allergies

1.031 (0.949, 1.121) p = 0.467

0.984 (0.937, 1.033) p = 0.517

1.066 (1.014, 1.120) p = 0.0124

1.090 (1.036, 1.147) p = 0.001

  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 allergy while values less than 1 indicate a prediction of lower healthcare utilization with the allergy
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Allergy, Asthma & Clinical Immunology

ISSN: 1710-1492

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