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Table 3 Association between predictor variables and birth weight

From: Association of excessive mobile phone use during pregnancy with birth weight: an adjunct study in Kumamoto of Japan Environment and Children’s Study

Predictor variables Gestational agea (N = 416) Birth weightb (N = 416) Low birth weight (<2500 g)c (N = 16)
  B (95%CI) B (95%CI) B (95%CI)
  31.55 (29.42~33.68)** −6401.58 (−6943.38~−5859.78)** −1198.61 (−2499.57~102.34)**
Birth weight 0.001 (0.001~0.002)**
Birth chest circumference 0.15 (0.06~0.25)** 112.25 (100.75~123.75)** 121.08 (75.95~166.22)**
Birth height 89.48 (78.90~100.07)**
Placental weight −0.003 (−0.004~−0.002)** 0.60 (0.45~0.75)**
Maternal BMI before pregnancy 5.85 (1.67~10.03)**
Primiparity −0.38 (−0.57~0.20)**   
Infant sex 0.26 (0.07~0.44)**
Gestational age 27.09 (13.02~41.16)**
Mobile excessive use −66.46 (−114.46~−18.46)**
  1. ** P < 0.01
  2. a R 2 = 0.34, ANOVA P < 0.01. Predictor variables deleted during analysis: maternal age, birth height, maternal BMI before pregnancy, maternal age, birth head circumference, primiparity, maternal smoking, mobile excessive use, maternal complications, and obstetric labor complication
  3. b R 2 = 0.85, ANOVA P < 0.01. Predictor variables deleted during analysis: maternal age, birth head circumference, primiparity, infant sex, maternal smoking, maternal complications, and obstetric labor complication
  4. c R 2 = 0.70, ANOVA P < 0.001. Predictor variables deleted during analysis: maternal age, birth height, birth head circumference, placental weight, maternal BMI before pregnancy, primiparity, infant sex, gestational age, mobile excessive use, maternal smoking, maternal complications, and obstetric labor complication