Table 4 Logistic regression models initiators and antibiotics predicting chemical intolerance

Number of initiating events

2.9 (2.5–3.4)

–

–

Number of antibiotic exposures

–

1.8 (1.7–1.9)

–

Female

2.3 (1.9–2.8)

2.0 (1.7–2.4)

2.3 (1.9–2.8)

2.1 (1.8–2.4)

2.1 (1.7–2.6)

Age > 60

0.51 (0.4–0.6)

0.52 (0.4–0.6)

0.48 (0.38–0.61)

0.51 (0.42–0.62)

0.55 (0.43–0.70)

Household income

0.93 (0.90–0.96)

0.93 (0.90–0.95)

0.93 (0.90–0.96)

0.92 (0.90–0.95)

0.93 (0.90 –0.97)

Implants

–

–

3.6 (1.2–10.5)

–

2.9 (0.9–8.5)^ns

Pesticides

–

–

5.5 (3.5–8.6)

–

4.8 (3.1–7.5)

Combustion products

–

–

2.7 (1.5–4.6)

–

2.3 (1.3–4.0)

Mold

–

–

2.9 (2.1–4.0)

–

2.3 (1.7–3.3)

Surgical/medical procedure

–

–

2.2 (1.6–3.1)

–

1.9 (1.3–2.6)

New construction

–

–

2.3 (1.6–3.3)

–

2.2 (1.5–3.2)

Prostate

–

–

–

2.3 (1.1–4.9)

1.6 (0.6–4.5)^ns

Skin

–

–

–

3.0 (2.1–4.3)

1.7 (1.2–2.6)

Tonsils

–

–

–

1.9 (1.4–2.6)

1.6 (1.1–2.4)

Gastrointestinal

–

–

–

2.4(1.7–3.2)

1.9 (1.3–2.9)

Sinus

–

–

–

2.2 (1.8–2.7)

1.8 (1.4–2.4)

Wound

–

–

–

2.2 (1.6–3.0)

1.8 (1.2–2.7)

Fungal

–

–

–

1.5 (1.1–2.2)

1.1 (0.7–1.7)^ns

Pneumonia

–

–

–

1.7 (1.4–2.2)

1.5 (1.1–2.0)

Ear

–

–

–

1.5 (1.2–1.8)

1.2 (0.9–1.5)^ns

Dental

–

–

–

1.5 (1.2–1.9)

1.4 (1.1–1.9)

Vaginal

–

–

–

0.99 (0.57–1.7)^ns

0.90 (0.5–1.8)^ns

Urinary tract

–

–

–

1.5(1.2–1.9)

1.7 (1.2–2.3)