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. Author manuscript; available in PMC: 2015 Sep 1.
Published in final edited form as: Metab Brain Dis. 2014 May 16;29(3):845–855. doi: 10.1007/s11011-014-9565-9

Table 2. Demographic characteristics and CPF exposure and effect biomarkers in a sample of 21 Egyptian adolescent applicators and 20 non-applicators.

Characteristic Range Mean (SD) Median (IQR) Group comparison
Age (yrs) t(39)=0.04, p=0.97
 Non-applicator 12–18 15.5 (1.5) 16 (15–16)
 Applicator 12–18 15.5 (2.1) 15 (14–18)
Education (yrs) t(39)=1.34, p=0.19
 Non-applicator 6–12 9.5 (1.5) 10 (9–10)
 Applicator 6–11 8.9 (1.6) 9 (8–10)
Urine TCPy (μg/g creatinine) t(39)=4.55, p<0.001*
 Non-applicator 2.4–64.9 9.4 (14.3) 4.8 (3.2–8.9)
 Applicator 4.9–125 33.6 (36.6) 17.5 (11.1–36.8)
Plasma BuChE (U/ml)a t(30)=1.05, p=0.30
 Non-applicator 1.1–3.0 1.7 (0.4) 1.6 (1.5–1.8)
 Applicator 0.1–2.7 1.5 (0.8) 1.7 (1.1–1.9)
RBC Ache (U/g Hgb)b t(30)=1.54, p=0.13
 Non-Applicator 23.5–30.8 26.7 (1.9) 26.6 (25.2–27.9)
 Applicator 17.7–29.8 25.4 (3.6) 26.3 (23.1–28.5)

IQR Interquartile range

a

Based on log-transformed data; GM=5.8 for non-applicators and GM=21.1 for applicators

b

Based on modified t-test with unequal variances